We identify the workflow, build the agent, integrate it into your existing tools, and hand it over running. In 4–6 weeks. With a before/after metric agreed upfront.
No commitment. We'll tell you in 20 minutes if there's a fit.
Every SaaS company at Series A and B has the same problem.
The team is smart. The tools are good. But somewhere in the operation there are 10–20 hours a week being spent on work that follows a pattern — and nobody has fixed it because it's never quite urgent enough to prioritise over everything else.
Until it is.
When you're at 30 people it's manageable. At 80 people it's a person's full time job. At 150 people it's a team.
The companies that break this pattern early — that automate it before it becomes headcount — have a structural cost and speed advantage that compounds for years.
That's what we build.
Lead research and enrichment, CRM updates, personalised outreach drafting, follow-up sequencing, pipeline reporting.
Tier-1 ticket triage and routing, draft response generation, knowledge base retrieval, sentiment classification, escalation logic.
Weekly reporting automation, data reconciliation across tools, vendor communication summaries, invoice processing, expense categorisation.
User feedback synthesis, competitor monitoring and alerting, release note drafting, content repurposing, social media scheduling.
Onboarding checklist automation, health score monitoring, renewal risk flagging, QBR preparation.
We map the workflow end-to-end with your team. Identify the inputs, outputs, edge cases, and integration points. Define the success metric. You sign off before we write a line of code.
We build the agent. Connect it to your existing tools (CRM, Slack, email, databases). Test against real data. Handle the edge cases your team would trip over.
We hand over a running system — not a prototype. Full documentation. Monitoring in place. Your team knows exactly how it works and what to do if something breaks.
Most clients expand to a second workflow or move into AI product engineering within 60 days.
Zapier and Make connect tools and automate simple if-then logic. We build agents that can read context, make decisions, handle edge cases, and produce outputs that require judgment — not just trigger-action workflows. If your workflow requires understanding what something means, not just moving it from A to B, you need an agent, not a Zap.
We scope it before we start. If complexity emerges during the build we discuss it with you before it affects timeline or price. We don't spring surprises at invoice time.
No. We build around what you already use. The agent integrates into your existing CRM, communication tools, and data sources. You don't have to migrate anything.
We set up monitoring before handover. If the agent breaks or produces unexpected output, you'll know about it before your team does. We also include two weeks of support after handover.
We agree on a success metric before we start. If we don't hit it, we don't invoice for the full amount. We've never had to invoke this — but the protection is there.
Yes. The question is whether you want your best engineers context-switching onto an AI ops problem they've never solved in production before — or staying focused on your core product. We've already solved the reliability issues, the integration edge cases, and the prompt engineering problems. You get the result without the distraction.
Tell us what your team is doing manually. We'll map it in 20 minutes and tell you honestly if AI can fix it in 4–6 weeks.
Fixed price. Fixed scope. No surprises.