AI
AI features that pass review, not just demo well
There is a wide gap between an AI prototype that impresses a board and an AI feature that runs safely against customer data at volume. The gap is evaluation, guardrails, latency and cost. That gap is most of the work, and it is where we spend our time.
Scope
What this covers
Retrieval augmented generation
Document ingestion, chunking strategy, hybrid search, reranking and citation. Built so answers can be traced back to a source, which is what makes the feature usable in regulated settings.
Agentic workflows
Systems where a model plans, calls tools and acts, with bounded permissions, human approval gates on anything irreversible and full traces of every step.
Document and data extraction
Turning contracts, claims, invoices and clinical notes into structured records, with confidence scores and a review queue for the cases the model should not decide alone.
Evaluation and observability
Golden datasets, regression suites that run in CI, per request cost and latency tracking, and dashboards that show quality drift before your users report it.
Model strategy and cost control
Routing between model tiers, caching, prompt compression and honest advice about when a smaller model or plain code beats a large one.
Stack
What we build it with
Tools are chosen per project and justified in an architecture decision record. This is what we reach for most often in this practice.
Deliverables
What you actually receive
- Evaluation harness with a versioned golden dataset
- Guardrail policy covering prompt injection and data leakage
- Per request cost and latency dashboard
- Fallback behaviour for model outage and degraded quality
- Written model selection rationale you can revisit later
Related case studies
Where we have done this
Questions
What clients ask first
Will our data be used to train a model?
How do you stop the model making things up?
What does it cost to run?
Services
Practices that pair with this one
Product engineering
SaaS platforms and web products built to carry real load
Mobile engineering
iOS and Android apps that hold up outside the demo
Cloud and platform engineering
Infrastructure your team can operate at three in the morning
Data engineering and analytics
Numbers your leadership team actually trusts
Technology consulting
Straight answers before you spend the budget
Need agentic and generative ai?
Send a short brief and a senior engineer will read it. You get a written response with our honest read on scope, risk and cost within one business day. No discovery call required to get a real answer.
- A senior engineer reads every brief
- NDA signed before you share anything sensitive
- No sales sequence, no automated follow ups