Agents that do the work, with humans in charge
AI agents work best on well-defined workflows with clear escalation to people. We find those workflows, redesign them, and build agents that run inside your systems and your cloud.
Most agent projects aim too wide
of agentic AI projects are forecast to be cancelled by the end of 2027 because of rising costs, unclear value or weak risk controls.
Source: Gartner, June 2025
What goes wrong
- Agents given open-ended jobs they cannot reliably finish
- Automating a broken process instead of fixing it
- No audit trail or human checkpoint
- Savings assumed, never measured
What we do instead
- Target well-defined, high-volume workflows with clear rules
- Redesign the workflow before automating it
- Build in human review, escalation and logging
- Measure time, error rate and cost against a baseline
Who it's for
SME leaders
Your team spends hours on repetitive admin, and you need help without hiring a data team.
Enterprise teams
You need agents with the documentation to go through security, risk and works council review.
Product managers
You want AI agents inside your product that behave predictably for customers.
How it works
Typical timeframe: 4‑10 weeks per workflow. Every engagement is scoped to your situation after the discovery call.
Pick and map the workflow
We choose one workflow with clear inputs, rules and volume, map every step and exception, and measure today’s time and error rate.
- Workflow and exception map
- Baseline metrics
- Automation design with human checkpoints
Build and shadow
We build the agent inside your tools, then run it in shadow mode alongside your team so you can compare its output before it acts on its own.
- Working agent in your environment
- Shadow-mode comparison
- Escalation and logging setup
Go live and measure
We roll out in stages, track savings and errors against the baseline, and train the people who now supervise the agent.
- Staged production rollout
- Savings and quality report
- Runbook and team training
You leave with
- An agent running a real workflow in production
- Measured savings against your own baseline
- Clear human checkpoints and a full audit trail
- A team trained to supervise and improve it
Workflows that suit agents
- Invoice, order and document processing
- Support triage and draft replies
- Lead research and CRM updates
- Compliance checks and report preparation
- Internal IT and HR request handling
- Data entry across systems without APIs
In independent tests, leading agents completed about 30% of open-ended office tasks (TheAgentCompany, Carnegie Mellon, 2025), yet scored above 83% on structured workflow execution (CRMArena-Pro, Salesforce AI Research, 2025). We build for the second kind.
Common questions
Do we need an agent or just automation?
Often just automation. If the steps are fixed, a rules-based workflow is cheaper and more reliable. We use agents where judgement on messy inputs is needed, and tell you which is which.
Where does the agent run, and who sees our data?
In your cloud or tenant wherever possible, with EU data residency options. We document every data flow for your data protection officer.
What happens when the agent gets it wrong?
It is designed for that. Low-confidence cases go to a person, every action is logged, and actions above a set risk level always need human approval.
Will this replace our staff?
In our experience it moves people from repetitive steps to review, exceptions and customer work. We design the rollout with your team, not around them. If you have a works council, we involve it early and provide the documentation it needs.
Related services
AI Strategy & Opportunity Mapping
Rank your AI opportunities by value and feasibility, check data readiness, and decide what to build, buy, or skip in 1‑2 weeks.
AI Validation Sprints
A working AI prototype on your real data in 2‑4 weeks, with evaluations, cost per task and a clear go or no‑go decision.
AI Product Development
AI-first MVPs and AI features in existing products, built in 6‑12 weeks with quality testing, interfaces users can trust, and cost control.
AI Governance & Enablement
Proportionate AI governance for the EU AI Act and GDPR, plus hands-on AI training for your team on the tools they actually use.
Start with one workflow
Book a 30-minute call and tell us where your team loses the most time. We will tell you whether an agent, simple automation, or neither is the right fit.