AI Strategy · Process · Data

Practical AI strategy for the businesses the consulting industry usually overlooks.

Olliver Douglas Partners is a boutique consultancy helping SMEs work out where AI will actually move the dial — and then deliver it inside an SME budget. Thirty years of Big 4 process, data and digital transformation experience, applied where it’s most needed. We bring the work to life through five industries we know especially well, but the discipline travels to any business.

Book a free intro call → See the work →
01Professional Services
02Construction
03Retail & Wholesale
04Estate Agents
05IT & Communication
Our Focus

Five industries to
bring it to life.
Built for any SME.

The hype around AI is loudest in the FTSE 100. The opportunity is biggest where it’s quietest — in the regional accountancy, the second-generation builder, the family-run merchant, the independent estate agent, the SME-focused IT firm. These businesses are profitable, complex, data-rich and time-poor. They don’t need a sandbox. They need a roadmap, a budget that survives the board, and someone who has actually delivered.

We work across the SME market. We’ve developed particular depth in five industries that share similar data shapes, similar people problems and similar AI opportunities — and we use them throughout this site to show what good looks like in practice. The same process, data and delivery discipline applies just as readily to manufacturers, hospitality groups, healthcare providers, agencies and any other SME with work that AI can help unlock.

01 — Professional Services

Local accountants & lawyers

Time capture, document drafting, research, KYC, billing — the back office where AI adoption has quadrupled in a year. We help firms route AI to the work that justifies a partner’s rate, not against it.

02 — Construction

Contractors & consultancies

Estimating, programme, site quality, snagging and H&S. AI early-adopters in AEC are already reclaiming 500–1,000 hours per firm and reporting 20–40% efficiency improvements.

03 — Retail & Wholesale

Independents & merchants

Forecasting, replenishment, pricing, customer service and personalisation. SMBs deploying AI report 3.2× higher AI-attributed revenue growth than late movers.

04 — Estate Agents

Sales & lettings agencies

Lead capture, valuation, listing copy, viewings, sale progression. AI-driven campaigns lift conversion up to 40%, and chain-risk monitoring is closing the gap on transaction fall-through.

05 — IT & Communication

MSPs, ISPs, CPaaS & telcos

Service desk, NOC, provisioning, billing and churn. Telcos report 67% already seeing ROI on at least one gen-AI use case — with productivity gains across both IT and non-IT teams.

And every other SME

Don’t see your sector?

These five are illustrative, not exclusive. If you’re an SME with work that’s repetitive, data-rich and time-poor — whatever your industry — the same diagnostic, methodology and delivery muscle applies. Start with a free intro call and we’ll tell you honestly whether AI is the answer for your business yet.

Our Experience

30+ years of delivery —
made small enough to matter.

Most AI advisory either ships a deck or codes a demo. We’ve done both, at scale, inside the Big 4 and inside the boardrooms of PE-backed technology platforms. ODP exists to bring that operating discipline to the businesses the consulting industry usually overlooks — with two senior partners in every engagement and no hand-offs to juniors.

Strategy, Data, Architecture & Delivery

Foundations that don’t collapse under the first real workload.

Three decades of process architecture, data architecture and digital transformation delivered across Big 4 consultancies and leading technology businesses, with a particular focus on translating legacy estates into modern, AI-ready foundations. We bring the rigour of enterprise-grade transformation into businesses that want the value without the overhead.

That means a clear-eyed view of what your data really is, where it lives, what to fix first and what to leave alone — so the AI work that follows actually compounds, instead of breaking the moment it leaves the demo. And it means a delivery discipline that turns a roadmap into a working capability your team can own, defend to a board, and extend without us.

  • Digital transformation leadership across Big 4 and PE-backed tech
  • Enterprise & data architecture for AI-ready foundations
  • Legacy-to-lakehouse data modernisation programmes
  • Target operating model and process design for high-growth businesses
  • Programme & delivery leadership on global SAP S/4HANA and CFO transformations
  • Chartered Management Consultant · MSc Robotics & AI · TOGAF 10
What it means for your business

Big 4 thinking. SME economics. Senior partners on the work.

No juniors

Every meeting, every workshop, every line of strategy is written by a senior partner. You don’t pay a senior rate to brief an associate.

Two lenses

Strategy and architecture on one side, delivery and digital transformation on the other. You get both perspectives in every recommendation, not one specialism in isolation.

SME economics

Engagement fees, scope sizes and timelines designed for businesses where every spend has to earn its place — not for FTSE 100 budgets.

71%
of UK businesses have no clear AI use case identified for their organisation.
Source: UK Gov AI Adoption Research
43%
of UK SMEs still have no AI plan in place — an estimated £94bn productivity gap.
Source: Resultsense / TC Group
3.7×
average return on every £1 invested in AI when implemented with a structured approach.
Source: Microsoft / IDC, 2025
81%
of firms with a defined AI strategy already see ROI — vs 23% with no strategy.
Source: Thomson Reuters, 2025
Capabilities Matrix

Where AI earns its keep,
industry by industry.

Every business says it wants “AI”. Few have a shared picture of where AI fits in the work that gets done each day. Our process taxonomy is the starting point for every engagement. Hover any sub-process to see two concrete AI plays we’d evaluate first — the ones with the clearest pay-back inside SME-scale budgets. Five industries shown here as worked examples; we build the same view for any SME we work with.

01
Professional Services
Client onboarding & KYC
AI plays
  • Automated ID, source-of-funds and document checks reducing onboarding from days to minutes
  • Conflict checking and risk scoring against the firm’s full client and matter history
Document drafting & review
AI plays
  • First-draft contracts, NDAs and engagement letters generated from precedent libraries
  • Clause comparison, red-flag detection and version reconciliation across long documents
Research & advisory
AI plays
  • Natural-language search across case law, HMRC guidance and internal precedent
  • Summarisation of judgments and technical updates into client-ready briefing notes
Time capture & bookkeeping
AI plays
  • Passive time capture from email, calendar and document activity with narrative drafting
  • Auto-categorisation of bank feeds and supplier invoices into the chart of accounts
Practice management
AI plays
  • Workload balancing and matter-deadline risk prediction across fee earners
  • Capacity forecasting against live pipeline and historical conversion patterns
Billing & collections
AI plays
  • Narrative drafting from time entries with WIP and write-off prediction
  • Cash-collection prioritisation and dispute prediction across the debtors book
Client communications
AI plays
  • Drafted status updates, fee notes and follow-ups from matter activity
  • Sentiment and engagement monitoring across the active client portfolio
02
Construction
Tender & estimating
AI plays
  • Quantity take-off from drawings using vision models, cross-checked against BoQ
  • Win-rate prediction and price benchmarking against historical bid outcomes
Programme & scheduling
AI plays
  • Critical-path optimisation and resource levelling across the live project portfolio
  • Delay-risk forecasting from weather, supplier lead time and labour-availability data
Procurement & subcontract
AI plays
  • Supplier scoring and category spend analysis from PO and invoice data
  • Automated RFQ drafting and structured bid comparison across subcontractors
Site operations & quality
AI plays
  • Computer-vision for PPE compliance, exclusion zones and progress capture
  • Auto-generated daily site reports from photos, drone footage and inspection notes
Health, safety & compliance
AI plays
  • Pattern detection across incidents, near-misses and audits to predict risk hotspots
  • Method statement and RAMS first-draft generation from task and site context
Cost control & variations
AI plays
  • Cost forecasting and EAC drift detection against budget and earned-value baselines
  • Variation and claim drafting auto-populated from change logs and correspondence
Snagging & handover
AI plays
  • Snag photo classification, dispatch and close-out tracking across trades
  • Auto-compiled O&M manuals and handover packs from project artefacts
03
Retail & Wholesale
Demand forecasting
AI plays
  • SKU- and store-level demand prediction with seasonality and promo overlays
  • New-product launch curve modelling using analogue product histories
Inventory & replenishment
AI plays
  • Auto-replenishment with dynamic safety stock and dead-stock identification
  • Cross-store and cross-channel allocation optimisation against fulfilment cost
Pricing & promotions
AI plays
  • Dynamic price optimisation using elasticity, competitor and basket-effect signals
  • Promo ROI prediction and cannibalisation modelling before commitment
Customer service
AI plays
  • Triage and assisted-response drafting across email, web chat and social
  • Voice agents for order tracking, returns and routine pre-sale queries
Marketing & personalisation
AI plays
  • 1:1 product recommendations, segment design and lifecycle-trigger campaigns
  • AI-generated product copy, category pages and email creative at scale
Supplier & range management
AI plays
  • PO and invoice matching with exception detection and contract-rate enforcement
  • Range review analytics, gap identification and category insights from sell-through
Returns & reverse logistics
AI plays
  • Return-reason classification from free-text and image submissions
  • Serial-returner and reverse-logistics fraud detection across channels
04
Estate Agents
Lead capture & qualification
AI plays
  • 24/7 web, SMS and WhatsApp chat capture with real-time intent scoring
  • Lead-to-instruction probability modelling for portal and partner sources
Valuation
AI plays
  • Automated valuation with local-comparable explainability for the seller
  • Listing-price recommendation tuned by speed-of-sale vs price-realisation goal
Listing & marketing
AI plays
  • Auto-generated listing copy, brochure assets and social posts in the firm voice
  • Image enhancement, decluttering and virtual staging for vacant or tired stock
Viewings & diary
AI plays
  • Conversational booking, reminders and rebooking handled by an AI agent
  • Route optimisation and viewing-day pack generation for negotiators
Buyer matching
AI plays
  • Semantic matching of buyer wishlists to live and pre-market stock
  • Real-time alerting on new instructions or price changes that fit applicant profiles
Sale progression
AI plays
  • Chain-risk monitoring with stalled-case and fall-through prediction
  • Drafted weekly updates to vendor, buyer, solicitor and mortgage broker
Lettings & management
AI plays
  • Repair triage from tenant submissions with contractor dispatch and SLA tracking
  • Rent-arrears prediction with personalised, compliant outreach
05
IT & Communication
Service desk
AI plays
  • Ticket classification, routing and L1 auto-resolution with confidence scoring
  • Knowledge-base answer drafting from past ticket resolutions and runbooks
Network operations
AI plays
  • Anomaly detection across alerts, traffic and customer-experience telemetry
  • Root-cause grouping and noise reduction across incident floods
Onboarding & provisioning
AI plays
  • Intent-driven configuration generation and validation for new services
  • Quote-to-cash automation with exception handling and manual fallback
Billing & usage analytics
AI plays
  • Bill-shock prediction with pre-emptive customer alerts and tariff guidance
  • Churn risk modelling from usage, support and commercial behaviour signals
Sales & account management
AI plays
  • Lead enrichment, account whitespace mapping and intent signal scoring
  • Drafted renewal proposals and uplift positioning from usage and contract data
Field engineering
AI plays
  • Dispatch optimisation, ETA prediction and first-time-fix scoring
  • Vision-assisted install verification and on-site safety compliance
Security operations
AI plays
  • SOC alert triage and false-positive reduction across SIEM and EDR
  • Phishing-email detection with personalised user coaching loops

Hover any sub-process to reveal candidate AI plays · tap on mobile

5 industries × 7 processes ≡ 35 anchor points for diagnosis

Our Methodology

From conversation to
capability, in a rhythm
your business can absorb.

We’ve made our engagement model deliberately simple. A free hour to test the chemistry. A fixed-fee strategy and roadmap that pays for itself in the first quick-win. Then flexible delivery options that flex to your scope and risk appetite — from PM support, to full build, to a long-term retainer.

Stage 01
Introductory Call
60 minutes · complimentary

A focused conversation with two senior partners to understand where you are, what you’ve tried and what good would look like in your business. You leave with two or three AI plays worth pursuing and an honest view on whether we’re the right fit. No deck, no pitch.

  • Two senior partners in the room
  • Process taxonomy as the shared map
  • Written summary of plays we’d explore
  • No obligation to engage further
Stage 02
Strategy & Roadmap
Fixed fee £5,000 · 3–4 weeks

A structured deep-dive: workshops with leadership, interviews with operators, a review of the data and tooling estate, and a written strategy with a sequenced 12–18 month roadmap. Every recommendation comes with an estimated cost, benefit and confidence rating.

  • Workshops & operator interviews
  • Data and tooling estate review
  • Prioritised, costed roadmap
  • Board-ready strategy paper
Stage 03
Implementation
Scoped by engagement

Three delivery shapes, mixed and matched to your needs: programme and project management to govern in-house build; full delivery of AI models, tools and integrations using vetted partners; or a fractional retainer for ongoing strategy, governance and quality assurance.

  • PM & programme governance
  • Full delivery of AI models and tooling
  • Fractional retainer / advisory
  • Day rates or fixed-fee, your call
Typical Timeline

A six-month arc from first call to first measurable benefit.

Every engagement is shaped to context, but most strategy-led mandates follow a similar five-step rhythm. We design the cadence so that strategy work funds itself before delivery investment is committed.

01
Week 0

Discover

Free 60-minute call. Confirm fit, identify two or three candidate plays, agree shape and timing of strategy work.

02
Weeks 1–2

Define

Workshops and operator interviews. Map the current process, data and tooling baseline. Surface constraints and risks.

03
Weeks 3–4

Design

Prioritised roadmap with sequenced AI plays, target operating model, costed business case and board-ready paper.

04
Months 2–5

Deliver

Roadmap execution — PM, full delivery, or hybrid. Iterative releases, quick wins first, governance built in from day one.

05
Month 6+

Run

Measure realised value, embed ownership, retire scaffolding. Optional retainer for ongoing governance and the next horizon.

Principles

Quick wins fund the journey.

We sequence work so the first releases pay for the strategy phase. AI investment should compound, not blow the discretionary budget for the year.

Process and data before models.

Most AI projects fail on data quality and process clarity, not on the model. We start with the operating fabric the model has to plug into.

Build for handover, not lock-in.

Everything we deliver is documented to be owned, extended or replaced by your team. Our success is measured by how cleanly we can step away.

Insights

The state of AI
across five SME sectors.

Five research notes — one per industry — gathering the data points we use in our diagnostics. Every figure is referenced so you can validate the source yourself. These are starting points for a real conversation, not benchmarks to be applied without context, and they’re illustrative of how we frame the AI opportunity for any SME we work with.

Professional services: the inflection year.

Accountants · Lawyers
41%
of accounting firms now use AI — up from 9% a year earlier [1]
82%
of generative AI users in legal report increased efficiency [2]
$20bn
annual potential savings to the US legal industry from AI usage [3]
26%
of legal organisations actively integrating generative AI — nearly double on 2024 [2]

For local accountants and lawyers, 2025 was the year AI moved from curiosity to operating cost. AI usage in accounting more than quadrupled in a single year — from 9% to 41% of firms, with 72% of accountants now using AI at least weekly and 35% using it daily [1]. Three-quarters of those regular users report results that exceed expectations, particularly in client service, financial insight and operational efficiency.

The legal market is moving on a similar curve. The share of legal organisations actively integrating generative AI rose from 14% to 26% in twelve months, and 45% of firms now use or plan to use AI as a central part of workflow within a year [2]. Where firms are tracking it, the productivity story is real: 82% of generative AI users in law report increased efficiency [2], and analysis published in 2025 suggests AI could save the US legal industry $20bn annually [3].

Where the value lands

Inside firms, the highest-yield use cases cluster in research, document drafting, document review and summarisation. In legal, generative AI is already widely used for legal research (80%), document review (74%), summarisation (73%) and tax research (69%) [2]. In accounting, the equivalent gains come from auto-categorisation, narrative-from-time-entry and first-draft advisory comms.

Typical investment vs ROI

For an SME firm with 20–100 fee earners, a credible 12-month programme — tooling, integration, change — sits in the £40k–£180k range depending on starting point. The headline ROI driver is not headcount reduction but realisation rate: 5–10 percentage points of reclaimed billable time is achievable from time-capture and drafting alone.

What we’d do first

Don’t buy the model. Buy the workflow change. Start with one fee-earning team, instrument their work, automate the time and narrative, and measure realisation lift before scaling to the next practice area.

References

  1. Wolters Kluwer, 2025 Future Ready Accountant report — wolterskluwer.com
  2. Attorney at Work / Thomson Reuters, The AI Adoption Divide Dominates the 2025 Future of Professionals Report — attorneyatwork.com
  3. 2Civility, AI Usage Could Save US Legal Industry $20 Billion Annually — 2civility.org

Construction: the first 27% are already ahead.

Contractors · Consultancies
27%
of AEC professionals currently use AI — 94% of those plan to expand next year [1]
72%
of AI-using construction firms report reduced costs and improved efficiency [1]
31%
forecast construction productivity uplift from AI by 2030 [2]
500–1,000
hours reclaimed on critical tasks by early-adopting firms [1]

Construction is often described as AI’s slowest-moving sector, and the headline adoption number supports the cliche: only 27% of AEC professionals currently use AI in operations [1]. But the same research tells a more interesting story for the firms that are moving. Nearly half of early adopters are reclaiming 500–1,000 hours on critical tasks, and 72% report reduced costs and improved operational efficiency [1].

The macro case for AI in construction is strong. AI-powered digital solutions are forecast to increase construction productivity by 31% by 2030 [2]. Wider digital transformation work in the sector has historically delivered 14–15% productivity gains and 4–6% cost reductions [2], and AI is now where the next compounding step sits.

Where the value lands

For SME contractors and consultancies, the cleanest first plays are estimating, programme risk, site quality and snagging. Vision-based quantity take-off, weather-and-supplier delay forecasting, computer-vision quality checks and auto-classified snag dispatch all run on data the business already produces.

Why most won’t move

The biggest barriers to adoption in 2026 are not cost: 62% of firms cite data privacy and security, 58% cite lack of internal expertise, and 56% cite limited data availability and quality [1]. In other words, this is a strategy and data problem, not a technology problem.

What we’d do first

Pick one site and one process. Run an eight-week pilot in estimating or quality, measure the time and rework saved, and let the pilot fund the next two. The technology is ready. The estate, the data and the change are not — and that’s where we work.

References

  1. Bluebeam (via For Construction Pros), AI Early Adopters in Construction See Strong ROI Despite Industry-Wide Hesitation, 2025 — forconstructionpros.com
  2. Grand View Research / industry forecasts as cited in AI Adoption in Construction: Where Builders Stand in 2025, Rowan — blog.rowan.build

Retail & wholesale: structure beats speed.

Independents · Merchants · Multi-site
78%
of SMBs now use AI in at least one business function — up 43% on 2023 [1]
3.2×
higher AI-attributed revenue growth at mature adopters vs early-stage firms [1]
$3.70
average return on every $1 invested with a structured AI approach [2]
114
hours per employee per year saved at mature AI organisations [2]

Retail and wholesale SMBs are adopting AI faster than any of our other four sectors. 78% of SMBs now use AI in at least one function, a 43% jump on 2023, with the highest adoption in customer service (83%), marketing (76%) and operations (68%) [1]. The wholesale trade segment alone has gained roughly eight percentage points of AI adoption since 2021, and retailers using chatbots over peak weekend trading have measured 15% higher conversion [1].

The bigger story is the gap between casual users and structured adopters. Stage 4–5 organisations report 3.2× higher AI-attributed revenue growth than Stage 1–2 firms, and 87% say AI helps them scale operations while 86% see margin improvement [1]. Companies that use a structured implementation approach generate an average $3.70 return for every $1 invested [2].

Where the value lands

For mid-market retail and wholesale, the durable plays are demand forecasting, replenishment, dynamic pricing and customer-service deflection. These are old categories — what’s new is that the tooling is now cheap enough for a single-site retailer or a five-depot merchant to deploy without an enterprise team.

Typical investment vs ROI

For a £20m–£80m turnover retailer/wholesaler, a 12-month AI programme covering forecasting, replenishment and CX deflection sits in the £60k–£220k investment range, with 9–18 month paybacks driven by stock-turn improvement, margin protection from dynamic pricing and reduced cost-to-serve.

What we’d do first

Forecasting is the unsexy answer that pays the rent. Get demand right and everything downstream gets easier — replenishment, working capital, promotion ROI, service levels. We then layer pricing and personalisation on top.

References

  1. Salesforce, New Research Reveals SMBs with AI Adoption See Stronger Revenue Growth, 2025 — salesforce.com
  2. Microsoft / IDC, Global AI Adoption 2025 — microsoft.com

Estate agents: AI as the second negotiator.

Sales · Lettings · Property Management
7.3%
productivity uplift at real-estate firms leveraging AI [1]
40%
uplift in conversion rates reported on AI-driven marketing campaigns [2]
50%
lead reply rates achievable with AI lead-nurture tooling [2]
$34bn
efficiency gains forecast for the real-estate industry from AI over five years [3]

Estate agency is one of the cleanest fits for AI in the SME world. The work is highly repetitive (capture, qualify, value, list, view, progress, manage), the data is text- and image-heavy, and there is real urgency — market recovery is rewarding firms who answer leads in minutes, not hours.

The numbers from 2025 are credible rather than spectacular. Studies show a 7.3% productivity uplift, a 6.9% lift in customer interaction and a 5.6% improvement in operational effectiveness at real-estate firms leveraging AI [1]. On the revenue side, AI-driven marketing campaigns are lifting conversion by up to 40% and lead reply rates above 50%, with AI virtual tours boosting engagement by 60% [2]. PwC and others size the prize at $34bn of efficiency gains over five years for the wider industry [3].

Where the value lands

For an independent or mid-sized agency the most defensible plays are 24/7 lead capture and qualification, AI-assisted valuation, listing-copy and image enhancement, and chain-risk monitoring on the sale-progression desk. The biggest single lever is response time on portal-sourced leads: every five minutes faster than the competition materially shifts win rate.

Typical investment vs ROI

For a 3–20 branch agency, a credible 12-month AI programme covering lead, listing, viewings and progression sits in the £30k–£120k range, with payback typically inside two quarters from instruction-conversion uplift alone.

What we’d do first

Pick the leakiest part of the funnel — usually after-hours leads or stalled chains — and put an AI co-pilot on it. Measure the instructions, the speed of progression and the negotiator hours saved. Scale from there.

References

  1. Brainvire, AI in Real Estate: Key Trends and Predictions for 2025 — brainvire.com
  2. Luxury Presence, 5 Ways to Use AI for Real Estate Leads in 2025 — luxurypresence.com
  3. Morgan Stanley Insights, AI in Real Estate: Innovations Reshaping the Real Estate Sector, 2025 — morganstanley.com

IT & comms: from cost centre to compounding asset.

MSPs · ISPs · CPaaS · Telcos
67%
of telecoms organisations already see ROI on at least one gen-AI use case [1]
78%
of telco executives report revenue increases from gen AI [1]
72%
productivity gains reported in IT workflows; 55% in non-IT [1]
66%
of MSPs purchase pre-built AI solutions rather than build their own [2]

If any sector should already be over the AI maturity hump, it should be the one selling the picks and shovels — but the picture is more nuanced. 67% of telecoms organisations are already seeing ROI on at least one gen-AI use case, and 78% of telco executives report revenue increases from gen AI — with growth coming from new leads (68%), new products (66%) and conversion uplift (65%) [1]. 77% agree AI has reduced annual operating costs [1].

The MSP segment is moving even faster on operational AI. 2025 marked a clear shift toward automated, measurable outcomes — AI-driven ticket resolution, workflow orchestration and proactive issue prevention replacing reactive support models [2]. Two-thirds of MSP 501 firms now buy AI rather than build it [2], which is good news for the SME end of the market: the tooling is increasingly off-the-shelf.

Where the value lands

For MSPs, ISPs, CPaaS providers and regional telcos the highest-yield plays are service desk auto-resolution, NOC alert triage, customer onboarding/provisioning and churn-risk modelling on the existing book. The combined effect is to move people up the value chain — from tickets to advisory — without growing the cost base.

Typical investment vs ROI

For a £5m–£50m IT/Comms business, a 12-month AI programme covering service desk, NOC and customer lifecycle automation sits in the £50k–£250k range, with paybacks typically inside two to four quarters driven by ticket-deflection and reduced field engineering rework.

What we’d do first

Start with the work you already have telemetry for: the ticket queue and the NOC. Both produce huge volumes of structured data that AI loves and humans hate. Measure deflection rate, MTTR and first-time-fix — the operating story sells itself.

References

  1. IBM Institute for Business Value, Telecommunications in the AI era, 2025 — ibm.com
  2. The MSP Summit, Measuring AI’s Impact on MSPs in 2025 — themspsummit.com
Get in touch

Start with a
free 60-minute call.

If you’d like to talk through where AI could land in your business, send us the basics and we’ll come back to suggest a time. Two senior partners will join the first call. There is no obligation to engage beyond it.

Email ross@odpconsultancy.com
Based East Yorkshire, UK
Working across the UK, in-person and remote
First step 60-minute introductory call · complimentary
Sectors Professional Services · Construction · Retail & Wholesale · Estate Agents · IT & Communication

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