Enterprise AI agents for the work of large teams
Solutions for customer operations, service desks, finance, revenue and compliance. Each agent runs under your identity and access rules, waits for approval where policy requires it, and leaves a record you can audit.
Where enterprise teams put agents to work
Each solution starts with one defined workflow, an owner and a written test set.
Customer operations
Triage and resolve routine requests across channels, with policy-aware replies, escalation by rule and a case summary for every handover.
IT and HR service desk
Answer employee questions from policy and knowledge, raise and route tickets, and complete approved requests such as access and onboarding steps.
Finance and procurement operations
Read invoices and purchase requests, match them to records, flag exceptions and route approvals to the right owner.
Sales and revenue operations
Qualify inbound demand, keep records current, prepare account briefs and chase follow-ups so teams spend time selling.
Compliance and risk review
Check documents and activity against written policies, surface exceptions with the evidence, and keep a review trail.
Knowledge and document operations
Answer questions from internal documents with citations, summarise long material and keep knowledge up to date.
Controls built in from day one
Enterprise agents must be as accountable as the people and systems around them. We design identity, approvals and records first, and the agent second.
- Agents act under their own identity with least-privilege permissions
- Defined actions require a named approver before they run
- Every input, decision and action is recorded and exportable
- Rules and prompts are versioned and tested before each release
Discover, pilot, scale
Discover
Map candidate workflows, data, systems and risks. Choose the first workflow and agree the success measures.
Pilot
Build the agent in a controlled setting with approval on every action, and test it against real cases.
Scale
Loosen approvals where results justify it, add workflows and hand over runbooks, monitoring and ownership.
Connected to your platforms
We integrate through supported interfaces and agree the data each agent may touch before anything is built.
Collaboration
Email, calendars, chat and document platforms your teams already use.
Business systems
CRM, ERP, finance, HR and procurement platforms through their supported interfaces.
Service tools
Helpdesks, ticketing and knowledge bases, with escalation into your existing queues.
Identity
Single sign-on and role-based access, so agents inherit the rules your people follow.
Data
Databases and warehouses through read-only or tightly scoped access.
Monitoring
Logs and metrics that flow into the tools your security and operations teams use.
How we prove an agent is ready
- A written test setReal cases with expected results, agreed with your team.
- Pass marks before launchThe agent must meet the agreed standard before it touches a live system.
- Regression checksThe same set runs after every change to rules, prompts or integrations.
- Human review of samplesYour team reviews real outputs during the pilot.
- Monitoring in productionLogs and metrics show what the agent does and where it hands over.
- Named ownershipEach agent, rule and integration has an owner.
Straight answers
How do enterprise AI agents handle security?
Through least-privilege access, approval steps for sensitive actions, audit logs and data boundaries agreed before build.
Can agents run in our environment?
Deployment options are scoped in discovery according to your requirements.
How do you evaluate an agent before launch?
Against a written set of real cases with expected results, reviewed with your team.
How do you manage change?
Rules, prompts and integrations are versioned, and each change is tested against the evaluation set before release.
Who owns the agents we commission?
Ownership and licence terms are agreed in writing before work starts.
How do you start an enterprise engagement?
With a discovery workshop that maps candidate workflows, data and risks, and ends with a written proposal for a pilot.
Can agents work with our existing identity and access controls?
We design agents to act under their own identity and to follow the access rules you define. Integration with single sign-on and role-based access is scoped in discovery.
Ready to talk it through?
Tell us the task and we will tell you whether an agent fits.
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