Workflow automation
Your systems are fine. It's the space between them where the week disappears.
Nobody owns the gaps
Your CRM works. Your accounting software works. Your project tool works.
And between them sits a person exporting a report, reformatting it, checking it against a second system, and pasting it into a third. Then chasing an approval by email. Then updating the first system to say it's done.
No individual tool is failing. The work exists precisely because the tools don't know about each other, and it never appears in anyone's job description or budget, because it isn't anyone's system. It's just Thursday.
Automating the gaps is usually cheaper than replacing anything and delivers faster than a platform migration.
What we build
- Cross-system sync
- Keeping records consistent across the tools that each hold part of the truth, without a person as the integration layer.
- Approval and routing flows
- Requests that find the right approver, chase them, escalate on silence, and record the decision.
- Scheduled operations
- Reports, reconciliations, exports, and checks that run on time without anyone remembering.
- Intelligent triage
- Inbound requests read, categorised, prioritised, and routed. Including the ones that arrive as unstructured email.
- Exception handling
- The awkward cases pulled out for human attention with context attached, instead of quietly failing.
Where the AI actually goes
Most of a workflow doesn't need AI, and putting it everywhere is how these projects become slow and expensive.
Rules handle the deterministic parts — faster, cheaper, and fully predictable. AI goes specifically where the work needs judgment: reading unstructured input, categorising something ambiguous, deciding what an email is actually asking for.
We use the cheapest mechanism that reliably works at each step. That's not a compromise; it's what makes the whole thing maintainable.
How we approach it
- We watch the workflow first
- Sitting with the people doing it, following one real case end to end. Documented processes and actual processes differ, and the difference is where the automation opportunities are.
- We look for the process problem
- Occasionally a workflow exists because of an old constraint that no longer applies, and the right answer is to delete it rather than automate it. We'll say so.
- We automate the boring 80% first
- The common path, quickly, in production. Edge cases go to humans initially and get automated later if the volume justifies it. Trying to handle everything before launching is how these projects don't launch.
- We build in monitoring
- You'll know what ran, what didn't, and what's stuck. Silent automation failure is worse than no automation, because you stop checking.
Before you ask.
Those are excellent for simple triggers and we'll happily tell you to keep using them. Custom work earns its cost when logic gets complex, volume gets high, or the workflow needs judgment those tools can't express.
AI Agents
A chatbot answers a question. An agent does something about it. That difference is the entire engineering problem.
Intelligent SystemsDocument Processing
Somewhere in your business, a person is reading a PDF and typing what it says into a form. Possibly right now.
Software DevelopmentAPI Development & Integration
Integration is where estimates go to die. Usually because the estimate assumed the other system behaves.
Tell us what you're trying to build.
A 30-minute call, no charge and no pitch deck. Describe the problem and we'll tell you how we'd approach it, roughly what it costs, and whether we're the right team for it. If we're not, we'll say so.
30 minutes · No charge · No deck