In four weeks, we find the AI use cases worth doing in your business, tell you honestly whether your data is ready, and map the path to production.
AI Opportunity & Readiness AssessmentFind where AI actually pays off in your business
Proof this works in production
- 61% lower cost per scan than the vendor we replaced
- 0.73s average recognition, down from roughly five seconds
- 2-3M scans processed per day in production
- 100% of the intellectual property assigned to the client
Measured in a like-for-like production comparison at live traffic volume. Full case study available on request.
Exactly what you walk away with
Not a maturity score and a slide about the future of AI. Four documents you can act on, and they are yours to keep whatever you decide to do next.
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01 / USE CASES8-12 pages
Prioritised use-case register
Three to five candidate use cases, each scored for business value and technical feasibility, including the ones we recommend you do not pursue and why.
PDF + XLSX -
02 / READINESS14-18 pages
Readiness scorecard and gap register
Your data, platform, security and operating model rated against the AWS Cloud Adoption Framework for AI, with every gap listed by severity and owner.
PDF -
03 / ARCHITECTURE10-14 pages
Target architecture and business case
A reference architecture on AWS, sized and costed, with a three-year TCO model and the AWS funding programmes you qualify for.
PDF + diagram -
04 / ROADMAP1 page + deck
Sequenced roadmap and board readout
A twelve-month delivery sequence with dependencies and decision points, plus a one-page executive summary written for a board rather than for engineers.
PDF + PPTX
Four weeks, start to readout
Week 1
Discovery and prioritization
Map your priorities, workflows and data
Shortlist the candidate use cases
Score them by value and feasibility
Week 2
Readiness assessment
Assess data, technology and AI readiness
Flag the gaps and risks honestly
Cover security and governance where it matters
Week 3
Architecture and ROI
Design the target AWS architecture
Build the business case and ROI
Identify applicable AWS funding
Week 4
Roadmap and readout
Sequence the path to production
Executive readout with recommendations
Optional 2-4 week feasibility prototype
Where AI creates value
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Knowledge & document search
Your team asks in plain language and gets answers pulled straight from your manuals, contracts, SOPs and records.
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Forecasting & optimization
Forecast demand, inventory and asset needs from your own data instead of guesswork.
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Process & document automation
High-volume, repetitive work handled by AI: invoices, orders, claims and back-office tasks.
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Monitoring & decision support
AI flags the exceptions and patterns that matter and puts the full picture in one place, so your team decides faster.
Whether this is worth your four weeks
Roughly six hours of your team's time in total, concentrated in the first two weeks.
A good fit if
- You have executive intent for AI but no agreed plan, and competing internal opinions about where to start.
- You are running AI pilots that have not reached production, and it is not clear why.
- An AI feature is live but the unit economics or a vendor dependency has become the problem.
- You need a costed, defensible case before a board or investment committee will release budget.
Not a fit if
- You already know the use case and want it built. Skip the assessment and talk to us about delivery instead.
- You are looking for licence discounts or procurement leverage rather than an engineering opinion.
- Nobody can commit around six hours across four weeks. The assessment needs your people in the room.
Regulated sectors get the regulated version
Same four weeks, with the gap register mapped to the frameworks your auditors already use.
Financial services
- Model governance, explainability and the human-in-the-loop controls a regulator will ask about.
- Mapped to OSFI B-13 / NIST AI RMF 1.0 / ISO/IEC 42001:2024 / SOC 2
Healthcare
- PHI handling, clinical-safety review and third-party AI risk, with a board-ready risk summary.
- Mapped to HIPAA Security Rule / HITRUST CSF / NIST AI RMF 1.0 / ISO/IEC 42001
Retail and commerce
- Personalisation, forecasting and automated decisioning where consent and peak-season cost both bite.
- Mapped to PCI DSS 4.0 / GDPR Art. 22 / SOC 2 / ISO/IEC 42001:2024
Why Dedicatted
Top 2%
AWS Premier Tier Partner, worldwide
100+
AWS certifications across the team
50+
AI use cases shipped to production
FAQ
Do we need to be using AWS already?
No. The assessment is about your business and your data. You don’t need to be an AWS customer to take part.
What is the catch if AWS sponsors it?
No catch. AWS supports these assessments so organizations find real, high-value AI opportunities. You work with Dedicatted the whole way through.
What if our data is not ready?
That’s exactly what we check. You get an honest readiness picture and a roadmap that accounts for it, so nothing surprises you later.
How much of our team time does it take?
A few working sessions across the four weeks, with your business and technology people.
Do we own the deliverables?
Yes. The report, roadmap and architecture are yours, and you’re under no obligation to build with us.
What if we are multi-cloud?
That’s fine. The architecture we recommend is AWS-based, but the opportunities and roadmap are yours to run anywhere.
Can you sign an NDA?
Yes, before we look at anything sensitive.