Capabilities
AI solutions
AI integrated into the tools your teams already use. Sourced, governed, and quiet by default.
What we do
Integration, not replacement
Your teams keep working in the tools they already know. The AI comes to them, with your company's institutional memory behind every prompt.
Governed context layers
One shared, versioned memory for a department. Facts flow in from the systems where work already happens, carry their source and date, and stay scoped to the teams that own them.
Workflow integration with MCP
We connect assistants to your CRM, project boards, docs, and calendars through the Model Context Protocol. Every MCP-capable AI your team uses gets the same institutional memory.
Ambient assistants
Agents that watch finished work, compare it against shared context, and interject in three lines or less when something materially changed. Silence is the default.
AI governance and readiness
Ownership models, review queues, audit trails, and PII boundaries designed before the first prompt runs. Mechanical facts apply automatically. Interpreted facts get human review.
Case study
A shared memory for a marketing department
A national membership organization asked us to give its marketing department one governed source of truth its AI tools could rely on.
The department ran on the usual stack: a CRM, ad platforms, project boards, shared docs, and calendars. Every tool held part of the truth, and every AI experiment started from zero context.
We designed a context layer that ingests facts from those systems automatically. Mechanical facts like spend and registrant counts apply on their own. Interpreted facts like decisions and risks are extracted by AI and routed to the owning team for one-click review.
The layer is exposed through an MCP server, so every assistant the team uses answers with the same sourced, dated, team-scoped facts. An ambient agent watches finished work and interjects briefly when shared context changed underneath it.
What the design guarantees
- Every answer ends with its sources and dates
- Team-only facts never leak across teams, enforced server-side
- Customer PII never enters the index, the prompts, or the exports
- Interjections are three lines or less and never block work
- Interjection accept rates are measured, so usefulness is proven with data
- Full audit trail from every fact back to its origin
Our principles
Rules the system cannot break
Governance is designed in, not promised later. These are product requirements in everything we build.
Never invents
If the context does not cover a question, the system says so. Answers come from governed facts or not at all.
Every answer is sourced
Facts carry where they came from and when they were last updated. Stale facts are flagged plainly.
Silence is a feature
Ambient assistants interject only when shared context materially changes someone's work. They never lecture and never block.
Write access follows ownership
Owners apply updates with one click. Everyone else suggests, and every change is audited back to its origin.
Process
How an engagement runs
Small, measured phases. Each one has to earn the next.
01
Discovery and consent
We map the tools your teams already use and decide together which sources are in scope. Consent boundaries are design decisions, not afterthoughts.
02
Pilot with one team
A read-only context layer for a single team: governed facts, sourced answers, and a daily brief. Success looks like a status meeting your team stops needing.
03
Ambient and write-back
Assistants start watching finished work and proposing updates, with accept rates measured from day one so usefulness is proven, not assumed.
04
Department rollout
More teams, cross-team context, and every MCP-capable assistant in the org upgraded at once. Your team owns the system when we leave.