Copilots and agents that quietly remove cost.
We design and ship production copilots on Copilot Studio, Microsoft 365 Copilot, and Azure OpenAI — with grounding, governance, and a usage story that survives the first quarter.
Quiet automation, not theatrical chatbots.
Most copilot projects fail in week three — when the demo wins approval and the grounding falls apart in production. We design backwards from that moment.
Our team has shipped copilots across customer service, internal IT, field operations, and finance close. We pick the right surface (Teams, embedded in D365, custom web, voice), the right model, and the right rails — and we hand over an operating model your team can actually run.
Built for the work — not for the deck.
Bespoke agents on Copilot Studio
Low-code where it earns its keep, code where it doesn't. Custom topics, generative answers, and Dataverse-grounded knowledge with the audit trail.
Microsoft 365 Copilot rollout
Licence sizing, value-track playbook, governance via Purview, and the change story that gets actual adoption above 40%.
Custom agent orchestration
When Copilot Studio runs out of room — orchestrated multi-agent systems on Azure OpenAI, with tool use, evals, and observability baked in.
Retrieval and grounding
We build the RAG pipeline that actually keeps the model honest: chunking strategy, hybrid retrieval, citation enforcement, and refusal patterns.
Responsible AI controls
Content safety, PII redaction, role-aware retrieval, and human-in-the-loop for the calls a model shouldn't make alone. Mapped to your control framework.
Evals and drift monitoring
Golden sets, regression evals, prompt versioning, and live drift monitoring — the boring engineering that keeps a copilot useful past month two.
A measured, honest path from idea to production.
Shape
Two-week shaping sprint to pick the right use case. We will tell you when a copilot is the wrong tool — usually about a third of the time.
Build
Six to ten week build with weekly demos. The first usable version lands in week two, not the final week.
Ground
Knowledge wiring, eval suite, content safety, and observability. This is where most projects underinvest and pay for it later.
Run
Adoption clinic, prompt-engineering office hours, and a two-month tail of light-touch support while your team gets confident.
Patterns clients keep coming back for.
Customer service triage
A grounded copilot embedded in D365 Customer Service that drafts replies, suggests next steps, and escalates intelligently — typically 40–60% lower handle time within a quarter.
Internal IT helpdesk
A Teams-resident agent that resolves tier-one tickets end-to-end and quietly logs the rest into your ITSM. Usually pays for itself before the first quarterly review.
Field technician copilot
Voice-first agent for technicians with hands full — work-order context, parts lookup, schematic Q&A, and a hand-off pattern back to dispatch.
What good looks like.
- A copilot people actually use after the launch novelty wears off.
- Grounding pipelines that pass an internal audit, not just a demo.
- A measured baseline so you can defend the ROI to a sceptical CFO.
- An operating model your team can run without us in the room.
- Clear answers on when to use Copilot Studio versus a bespoke build.
The questions clients ask first.
Do we have to use Copilot Studio?
How do you stop hallucination?
What about Microsoft 365 Copilot licences?
Can it run on our data without leaving our tenant?
Let's scope a first conversation.
Tell us what you're trying to do. We'll come back with a point of view, not a sales pitch.