Connected to your stack
Agents work inside the tools you already run rather than beside them.
- CRM, ERP & helpdesk integrations
- Email, chat & calendar actions
- Databases & internal APIs
- Webhooks & scheduled jobs
AI automation
& AI agents.
We design AI agents and automated workflows that handle the repetitive work across sales, support and operations, connected to the systems your team already uses.
Most of a team's week goes to work a well-built agent could do. We build the agents, and the guardrails around them.
What we automate
From a single workflow to a team of agents, scoped around the outcomes you care about.
- 01
Custom AI agents
Agents that research, draft, triage and act — reading from your data and working through your tools, with a person in the loop where it matters.
- 02
Workflow automation
Hand-offs between apps, inboxes and spreadsheets replaced with automated flows that run on triggers and schedules.
- 03
Knowledge assistants
Assistants grounded in your documents, policies and product data, so answers come from your sources rather than the open web.
- 04
Document processing
Invoices, forms, contracts and emails read, classified and turned into structured data your systems can use.
Built to be trusted in production
An agent is only useful if your team can rely on it, see what it did and step in when needed.
Guardrails & oversight
Clear limits on what an agent can do on its own, and a record of everything it did.
- Approval steps for sensitive actions
- Role-based access to data
- Full activity logs
- Fallback to a person
Measured and improved
Every automation ships with the numbers that show whether it is working.
- Evaluation sets for accuracy
- Time & cost tracking
- Prompt and model tuning
- Ongoing monitoring
From idea to running agent
- 01
Process mapping
We sit with your team, map the work as it really happens and pick the tasks where automation pays off first.
- 02
Prototype
A working agent on real examples, so you can judge the output before anything is wired into production.
- 03
Integration
Connections to your systems, permissions, approval steps and logging, built and tested end to end.
- 04
Launch & tuning
A controlled rollout, then ongoing evaluation and improvements as the agent meets real cases.
You ask. We answer.
What is the difference between automation and an AI agent?
Automation follows fixed rules — when this happens, do that. An AI agent can read unstructured input, decide which steps to take and use tools to complete them. Most projects combine both.
Will AI agents replace my team?
Agents take over repetitive, rules-heavy work so your team can spend time on the decisions and relationships that need people. Sensitive actions can always require human approval.
Is my data safe?
We design around your data policies — access is limited to what each agent needs, activity is logged, and we can deploy with providers and regions that meet your compliance requirements.
How long does an AI automation project take?
A focused workflow can be prototyped in a few weeks. Larger multi-agent systems are delivered in phases, with each phase in use before the next begins.
Ready to put AI to work?
Tell us where your team loses the most time, and we'll show you what an agent could take off its plate.