AI Strategy Consulting
Rank what to build before committing engineering budget.
Service · Build
Custom AI development that ships into production and stays there.
Off-the-shelf tools cover the obvious 20%. The rest — the workflows that make your business specifically yours — need software built for them. That's where we work.
- Production-focused
- Azure & AWS
- Full ownership
- Integrations included
- Human Support
How it works
Production AI Architecture
Layered Architecture Used in Production AI Systems
Outcomes
What clients get from this service
Production deployment
Built to ship and stay up, not to demo.
Full ownership
You own the source code, models and infrastructure.
Existing system integration
Plugs into CRM, ERP, documents and knowledge base.
What this service is
End-to-end design and engineering of AI applications tailored to your business. Agents, copilots, document pipelines, internal assistants, custom models — production code, owned by you, hosted on managed cloud, integrated with the systems you already run.
Problems it solves
- "We've evaluated five vendors and none of them quite fit our workflow."
- "We have a unique data asset and we want to actually use it."
- "Our internal team can prototype, but they can't build something we can rely on."
- "We need this to work with our existing CRM, ERP, and ticketing tools — not replace them."
What we build
- AI agents that take real actions — updating records, drafting messages, processing documents.
- Copilots embedded into the tools your team already uses every day.
- Document understanding pipelines for contracts, proposals, claims, invoices, and unstructured data.
- Custom search and retrieval over your knowledge base, codebase, or product documentation.
- Multi-agent systems for genuinely complex workflows that one prompt can't solve.
How we work
- Solution design — we map the workflow, choose the right architecture, and write a short spec you can actually read.
- Build in short loops — you see something working in weeks, not at the end.
- Deploy to managed cloud — we host it on Azure with monitoring, security, and CI/CD baked in. See our Develop · Deploy · Support model →
- Hand over and support — full code ownership, documentation, and ongoing support if you want it.
Why bespoke beats off-the-shelf for the right problems
SaaS tools are great when your problem looks like everyone else's. The moment your workflow has a quirk — a particular approval chain, a non-standard data model, a regulatory wrinkle — off-the-shelf software starts fighting you. Custom AI development is for those problems. We won't build something custom if a $50/month tool would do the job — we'll tell you to buy it.
Business outcomes
You end up with a system that fits your business rather than the other way around. No per-seat pricing surprise. No vendor controlling your roadmap. A real asset on your balance sheet, supported by a team that knows it inside out.
Related services
Not sure if a custom build is the right first move? Start with an AI readiness assessment. Often paired with strategy consulting upfront and automation for the surrounding workflow. See also our use cases for examples.
Typical delivery
What the first 10 weeks usually look like
A typical first build runs in short loops with something working in your hands inside the first month.
Weeks 0–2
Solution design
Workflow mapping, architecture, written spec you can actually read.
Weeks 2–5
Build & first preview
End-to-end slice running on managed cloud; you start testing it.
Weeks 5–8
Integration & hardening
Real data, real systems, security baseline, monitoring, CI/CD.
Weeks 8–10
Production cutover
Go-live, handover, optional managed support continues from here.
Engagement Example
Anonymised client example
Engagement Example
Custom document AI integrated with an existing CRM
- Challenge: A document-heavy team spending hours per case extracting and routing information manually.
- Built: A bespoke document understanding pipeline with a review UI, integrated with the existing CRM and identity layer.
- Outcome: Materially reduced handling time per case; full source code and infrastructure owned by the client.
Client names withheld. Outcome figures described qualitatively rather than as marketing metrics.
Frequently asked questions
- Who owns the code we end up with?
- You do. Full source code ownership, documentation, and the right to take it to any team — including ours — for ongoing support.
- Where is the system hosted?
- On managed Azure by default, with monitoring, security baseline, and CI/CD wired in from day one. We can deploy to your existing cloud account if you prefer.
- Do you support it after launch?
- Yes — optional managed support covers uptime, model updates, security patching, and small enhancements. You're not forced into it; some clients run it internally after handover.
- How long does a first build take?
- Most first systems are in production within 6–10 weeks. We work in short loops so you see something running in weeks, not at the end of a six-month plan.
How this fits
Where this sits in our Assess → Build → Run model
Related services
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