Agents
Put agents to work
Not a chatbot bolted onto a homepage. Agents that do real work inside the systems you already run, orchestrated across steps, with a human on every decision that matters. Not another proof of concept.
- Agents wired into your CRM, ERP, and internal tools
- A human in the loop on every decision that matters
- Evals, guardrails, and audit trails as standard
- Outcome-linked pricing where the result is measurable
“Our systems should be smarter.”
The work most agent projects skip
A demo is easy. An agent you can trust with the work is not
Almost every organisation is using AI somewhere. Very few have an agent actually carrying a real workflow. McKinsey found 88% of organisations use AI, but only 23% are scaling an agentic system anywhere. The blocker usually isn't the model. It's workflow design, data readiness, and the controls that make an agent safe to rely on.
That's the work we do: pick the right workflow, wire the agent into your real systems and data, put a human where judgment is needed, and stand behind the result.
What's included
What lives inside Agents
Agent implementation & orchestration
The core: agents integrated with your CRM, ERP, and internal tools, orchestrated across multi-step work.
Agentic ops for internal workflows
Agents doing internal work, not customer-facing chat.
Vertical agents
Purpose-built for one industry's specific workflows: compliance, CX, finance, healthcare ops.
AI features in existing products
The original “make our software smarter” scope, delivered as working agents rather than bolted-on features.
Tool & data integration (MCP)
Wiring your internal tools and data into interfaces agents can call safely.
Human-in-the-loop controls
Escalation paths, review queues, and approval steps designed in from day one, not retrofitted after an incident.
In practice
Name the workflow, not the technology
The useful conversation is never “add agentic AI.” It's:
- an agent that clears the tier-1 support queue, with a human on every escalation
- an agent that drafts compliance evidence from approved documents, with audit logs on every output
- an agent that watches inventory signals and prepares purchase orders for review
One workflow, one owner, one measurable result. Then the next one.
Controls come standard
Built to pass procurement, legal, and an audit
Every agent we ship carries its trust layer: evals before launch, observability after, guardrails and audit trails throughout. When the agent goes live, someone stays accountable for it. That's the Run side of our Modernize & Run capability.
Engagement shape
Discovery, build, run. With an outcome option
Fixed price, milestones accepted on deliverables. Where the result is cleanly measurable, we can price part of the engagement on the outcome itself, per resolved task rather than per hour.
Next step
Which workflow would you hand to an agent first?
Bring the messy version. We'll help you pick the one worth starting with.
Fixed price, milestones on deliverables. Outcome-linked pricing where the result is cleanly measurable.