Agents that do real work in complex environments: they answer, decide within limits and act in your systems. We build them, deploy them and run them for you.
One subscription covers
- Design and build of each agent
- Hosting, on our platform or in your cloud
- Monitoring, evaluation and cost control
- Changes as your work changes
Works with
Salesforce
Slack
Agents / 02
Five ways
agents help.
- 01
Conversational agents
Assistants that answer customers and staff, and hand over when they should.
Explore Solution - 02
Workflow automation
Multi-step work done across your systems, with a person approving what matters.
Explore Solution - 03
Multi-agent orchestration
Specialist agents working as a team, with a reviewer checking the result.
Explore Solution - 04
AI on your documents
Cited answers from your files, and data read from forms and invoices.
Explore Solution - 05
Governance and guardrails
Limits, logs and human review on every agent.
See below
Platform / 03
Run like
production software.
Every agent runs on the same platform, with the same controls.
- 01
Your permissions, not more
An agent acts with the access of the person it serves.
- 02
Human approval
Steps that spend money, change records or contact customers wait for a person.
- 03
Every step recorded
Each request, tool call and answer is traced, so you can see why an agent acted.
- 04
Measured quality
Answers tested against your own examples before and after every change.
- 05
Cost limits
Budgets per team and per agent, and smaller models where they do the job.
- 06
More than one model
Models from several providers, with a fallback when one is unavailable.
Governance / 04
Guardrails,
by default.
- 01
Scope limits
Agents stay on the tasks you set and decline the rest.
- 02
Data protection
Personal data removed before it leaves your boundary, where you need that.
- 03
Misuse defences
Inputs screened for prompt injection and misuse.
- 04
Audit trail
Versions, decisions and approvals kept for review.
Where this comes from
We run AI assistants inside products we have built and operate. They act with the permissions of the person they serve, and fall back to another model when one fails.
How it works / 05
From one task
to a working agent.
- STEP-1
Pick the work
One task with a clear owner and a clear measure of done.
- STEP-2
Build and test
The agent connected to your systems and tested on real examples.
- STEP-3
Start supervised
It suggests first, and acts alone only where you allow it.
- STEP-4
Run and improve
We watch quality and cost and keep improving it under your subscription.
Bring us the hardest workflow.
Describe the work and the systems it touches. We will say whether an agent should do it, and how.
All solutions