Services · Last updated Jun 2026
AI workflow automation for the work your team repeats every week.
We connect AI to the tools your team already lives in: inboxes, CRMs, sheets, databases, documents, calendars, dashboards. The system classifies, routes, drafts, summarizes, and updates so people are not the copy-paste layer.
Talk through the buildThe system
What we build
Workflow mapping
AI classification and extraction
Routing and approval logic
CRM and inbox updates
Monitoring and exception handling
Built for the work
Why it matters
We do not build automation for the demo. We build it for the Monday morning when a real lead lands at 9pm on a Saturday and someone needs to respond before they go cold.
- Cut repetitive manual work
- Speed up operational handoffs
- Make workflow status visible
How the work comes together
The workflows that pay back first
After auditing dozens of operations, the same three candidates win almost every time. First, inbox-driven intake: leads, bookings, invoices, and support requests that arrive as unstructured email and wait for a human to read, classify, and re-type into another system. Second, document work: extracting fields from statements, contracts, and reports, then reconciling them against what another system says should be there. Third, recurring reporting: the same numbers assembled from the same sources every week, by hand.
A real example from our own operations: payout reconciliation for a short-let property business. Every Booking.com and Airbnb payout email is pulled automatically, parsed, and matched against the booking ledger; mismatches are queued as exceptions with a money-at-risk total attached. The first full run surfaced tens of thousands of pounds in payout discrepancies a human review had missed. That workflow now runs unattended, and a person only sees the exceptions.
How the work comes together
How we build it so it survives contact with Monday
Every automation we ship has the same skeleton: a deterministic backbone with AI only at the judgment steps. Classification, extraction, and drafting are model calls. Routing, retries, logging, and the audit trail are plain code. That split is why our systems keep working when a model has a bad day. The AI step fails loudly into an exception queue instead of silently corrupting your CRM.
Anything that sends money or messages out of the building gets a human approval step on day one. Autonomy is earned with an error-rate track record, not assumed. And every workflow ships with monitoring: you see what ran, what it decided, and what it refused to decide.
If you want to feel the difference before paying for it, our free build library includes runnable versions of intake triage, reporting, and reconciliation workflows. Run one against your own data this weekend; the engagement is making it production-grade.
A few useful details
Questions about ai workflow automation
What workflows can AI automate?
Intake, classification, document extraction, summaries, lead routing, CRM updates, support triage, report drafting, and follow-up reminders.
Does it need custom software?
Sometimes. We pick the simplest reliable approach. Lightweight integrations when they work. Custom code when the workflow demands it.
AI workflow automation vs Zapier: which one?
Trigger-action tools are right for simple, deterministic hops between two apps. The moment a step needs judgment, like reading a document, deciding what kind it is, and drafting the reply, you need an AI layer. We compare the two honestly, costs and failure modes included, in our AI agents vs Zapier guide.
How long does a workflow automation project take?
A single workflow typically ships in two to four weeks: one week of mapping, one to two of build, the rest monitoring against real traffic with a human approving outputs until error rates earn autonomy.
What does workflow automation consulting cost?
Single-workflow builds usually land in the five-to-fifteen-thousand-dollar range; multi-system automations more. Fixed scope, agreed up front. The honest comparison point is the loaded cost of the hours the workflow currently burns every month.
Open tools
Try it free before you hire us
These free builds from our AI build library show exactly how we approach ai workflow automation. Run one yourself this weekend — when you want it wired into your real stack, that is the engagement.
Keep exploring
Further reading
AI consultant vs AI agency
Where a consultant, an agency and an implementation partner differ on ownership, handover risk and time to a running system.
AI powered marketing operations automation for agencies
How agencies productize marketing operations automation into packages, and how to price the tiers in USD without guessing.
Next step
Ready to build this?
Book a call and we will map the first high-leverage workflow.
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