Governed AI workflows for teams that need better decisions, faster document handling and clear human review.
From strategy through production, we build AI into the workflows, controls and systems that already run the business.
AI only creates value when it changes how work gets done. That is why we build the workflow, controls and integrations around it.
Get a free consultation →We engineer across the cloud, model, and data stack our clients actually run — no lock-in by default.
Python and PyTorch as the practice spine. LangChain and LangGraph for agents. OpenAI, Anthropic, Azure OpenAI, and Hugging Face for models. Vector DBs for retrieval. AWS, Azure, GCP for deployment.
Practice spine.
Agents & orchestration.
Frontier model providers.
Open-weight & retrieval.
FastAPI for AI services.
Snowflake · Databricks.
The industry changes. The operational problems rarely do: fragmented data, manual workflows and systems that do not fit the way people work.
4,000+ projects delivered across regulated, operationally complex industries.
A four-stage process that takes AI from idea to production with a measurable impact gate at every step. Same playbook, every engagement.
Frame the right problem. Quantify the opportunity. Establish the success metric — before we write a line of code.
Architect for outcome. Choose the smallest valuable footprint and the right model for the constraint.
Engineer with rigor. Test continuously. Ship to production with confidence — not with caveats.
Operate, measure, and grow — with the governance to compound the result over years, not quarters.
Twenty years of domain delivery and six years of advanced AI/ML — combined into a single engineering capability, certified at CMMI Level 3.
"They have a high level of expertise working with a range of historic documents. Since 2015, we have completed 247 projects with them."Rose Staveley-WadhamData Operations Manager · FindMyPast
Start with advisory, a fixed build, a dedicated team or managed operation. The model changes; delivery governance stays consistent.
Clarify opportunities, data readiness, risk, governance and the smallest useful release before committing to a build.
Best for roadmap, business case and executive alignmentDeliver a defined AI workflow, integration or automation with clear scope, milestones and acceptance criteria.
Best for launch windows and first production releasesA long-running SBL team aligned to your roadmap, operating with shared ceremonies, reporting and delivery controls.
Best for multi-quarter product and platform workAdd AI engineers, data specialists, QA or delivery leads where your internal team needs focused capacity.
Best for capability gaps inside active programsOperate, monitor and improve the system after launch with observability, support routines and change governance.
Best for production systems that need accountable ownershipTell us about your AI ambition. We'll respond within one business day with a recommended path forward — outcome-led, not deck-led.