Custom AI products that earn their keep.
We design, build, and operate retrieval-augmented copilots, agents, and AI features — with evaluation harnesses so you know they keep working.
Engagements
What we deliver
The ai solutions engagements we run most often.
- 01
AI Readiness Review
Data, security, and ROI assessment to pick the right first project — and avoid the wrong ones.
- 02
RAG Copilots
Knowledge assistants over your documents, tickets, and code — with citations and governance.
- 03
Agentic Workflows
Multi-step agents with tools, memory, and guardrails for real, bounded business tasks.
- 04
Model Selection & Cost Tuning
Pick the right model per workload, monitor token spend, and avoid runaway invoices.
- 05
Evaluation & Observability
Golden sets, regression tests, and live quality monitoring so quality drift is visible, not surprising.
- 06
Responsible AI
Content filters, PII handling, audit trails, and policy alignment for regulated environments.
Figure · Fig. 02
RAG that earns its keep.
The shape of a production retrieval-augmented copilot: data pipeline on the left, generation in the middle, evaluation on the right — with a feedback loop that catches quality drift before your users do.
Method
How we engage.
A predictable cadence — from a written plan to running operations. You steer, we row.
- Step 1/4
Discover
A short workshop to align on success metrics. You walk away with a written plan in two weeks.
- Step 2/4
Design
Architecture, data model, and a thin slice in production — not a slide deck.
- Step 3/4
Deliver
Senior engineers ship in one-week increments you can review, test, and steer.
- Step 4/4
Operate
Runbooks, monitoring, and a clean handover — or we keep operating it for you.
Proof · in production
Outcomes from recent engagements.
Indicative results from delivery work in this practice. Numbers are anonymized; references available on request.
2 weeks
from kickoff to a usable RAG pilot
Running on the customer's Azure tenant with private endpoints from day one.
94%
answer accuracy on the golden set
Tracked weekly with regression alerts when quality drifts.
−61%
monthly token spend after model tuning
Same quality bar, smaller / cached models on the hot paths.
Questions we hear
Frequently asked questions
Next
Dispatch
Have an AI idea? Let's stress-test it together.
In a 30-minute working session we'll size the problem, the data, and the smallest viable first slice.