Agents that do real work inside your systems.
Assistants that answer from your own records, and agents that take a request, work through the steps, use your tools, and bring a person in when it matters. Built with limits you set and a record of everything they do.
- Assistants
- Answer questions, draft, summarise, and search across your data, inside the tools people already use
- Agents
- Complete multi-step work: read, decide, act in your systems, escalate
- Controls
- Permissions, approvals, spend limits, full audit trail
- Models
- Frontier models from major providers or open-weight models, chosen per task
Three shapes of the same idea.
Knowledge assistants
Ask a question in plain language and get an answer grounded in your documents, with citations. Deployed in chat, in your intranet, in Slack or Teams, or in your product.
Workflow agents
Take a purchase order, a claim, a ticket, or a contract from arrival to resolution: extract, check against your systems, act, and hand exceptions to a person.
Embedded copilots
AI inside the software your team or your customers already use: a drafting assistant in your CRM, a triage assistant in your help desk, a planning assistant in your ERP.
Agents act within limits you set.
Scoped permissions
Each agent gets the narrowest access that lets it do the job. Nothing more.
Human approval
Consequential actions, such as payments, external messages, and record changes, wait for a person unless you decide otherwise.
Every step logged
What the agent read, decided, and did is recorded and reviewable. When something goes wrong, you can see exactly where.
Evaluated continuously
Agents are tested against real cases before launch and monitored after it, with drift and failures surfaced to your team.
Works with what you already run.
Agents are only useful if they can reach your systems. We connect to ERPs, CRMs, help desks, document stores, email, and internal APIs, through official integrations where they exist and careful adapters where they don't.
Tell us what you're trying to do.
A thirty-minute conversation with an engineer, not a salesperson. We'll say plainly whether AI is the right tool for it, and what it would take.