Service
AI workflow automation for operations teams
Every growing company accumulates the same tax: people moving information between systems that were never introduced to each other. We remove that tax one process at a time, and leave behind automations your team can actually maintain.
The problem
The work nobody put in a job description
It rarely shows up as a line item. It shows up as a coordinator who spends Thursday afternoons rebuilding the same report, a bookkeeper re-typing invoice lines, and a sales manager chasing a status that three systems already know.
Re-keying between systems
The same customer, order, or invoice entered twice because the CRM and the finance system have no link. Slow, and quietly error-prone.
Manual routing and triage
Inbound email, forms, and documents read by a person purely to decide who should handle them next.
Report assembly by hand
Exports pulled, pasted, reconciled, and formatted on a schedule — work that is identical every single time.
Scope
What a build actually includes
Automation projects fail on the unglamorous parts — credentials, exceptions, monitoring — so those are in scope from the start rather than bolted on when something breaks.
- Process mapping. Sessions with the people doing the work, tracing every system, exception, and workaround the task really touches.
- Integration. Connections to your CRM, finance platform, email, storage, and internal databases via their supported APIs.
- The automated workflow. Built on a mainstream automation platform in your own account, version-controlled where the platform allows it.
- AI steps where they earn their place. Extraction, classification, and summarisation of unstructured input — nothing more.
- Error handling and alerting. Failures surface to a human queue with full context instead of disappearing.
- Documentation and handover. A written runbook plus a working session with whoever owns it after us.
| Process | What gets automated | Main effort driver |
|---|---|---|
| Invoice and bill intake | Reading supplier documents, extracting line items, coding and pushing to the finance system | Variety of document layouts and the approval rules behind them |
| Lead capture and routing | Form and inbox capture, enrichment, deduplication, CRM creation and assignment | How clean the existing CRM data and ownership rules are |
| Recurring reporting | Pulling from each source, reconciling, formatting and distributing on schedule | Number of sources and whether definitions agree across them |
| Document generation | Quotes, contracts and onboarding packs assembled from system data | Template complexity and review or signature steps |
| Support triage | Classifying inbound requests, tagging, prioritising and routing to the right queue | How well historical tickets support accurate classification |
A note on platform choice. We build on established automation platforms and documented vendor APIs rather than a proprietary runtime. Where a workflow touches Microsoft 365 or Azure services we follow the published Microsoft Power Automate guidance, so your IT team is reviewing a familiar architecture rather than something only we understand. Where the whole stack is already Microsoft 365 and the work belongs inside the tenant, our Microsoft Power Automate consultant page covers that build specifically — cloud and desktop flows, standard versus premium connectors, Dataverse and the solution hygiene that keeps a flow from dying with its author's account. Where the work is a conversational agent rather than a flow, our Copilot Studio consulting page covers scoping, governing and handing over an agent built inside the same tenant. If you are already automating and have outgrown the platform you started on, we also migrate existing Zaps to n8n. If you want to stay on Zapier and get more from it, our Zapier automation consulting covers building, optimizing and hardening Zaps in place or move Make scenarios across rather than rebuilding the process from scratch. Where the process already lives inside an all-in-one agency stack, the same rule holds: our GoHighLevel automation consulting page covers what stays in the platform and what belongs outside it, and where the process is already tracked as tasks, our ClickUp automation consultant page covers the same line drawn around Spaces, Lists and native Automations. Where the process is really documentation, internal systems and connected databases rather than tasks, our Notion automation consultant page draws that line around the workspace instead. Where the team already runs projects, Rules and forms on Asana, our Asana automation consultant page covers the same boundary drawn around Rules and the handoffs out to Slack, Drive and the CRM. And where the process begins at a checkout, our Shopify automation consultant page covers the same boundary drawn around Flow, the Admin API and the store's webhooks. And where the process never left the spreadsheet — a morning paste, a formula repair, a report mailed by hand — our Google Sheets automation consultant page covers the Apps Script and scheduled-refresh work that stays inside the file.
Questions
Common questions about automating a process
Which processes are worth automating first?
The ones that are high-frequency, rule-heavy, and currently done by a person copying information between two screens. Frequency matters more than complexity: a two-minute task done ninety times a week is a better first project than a two-hour task done monthly, because it produces measurable relief quickly and exposes edge cases fast.
Where does AI fit, versus ordinary automation?
Ordinary automation handles anything with a deterministic rule — if this field equals that value, do this. AI earns its place only where a step needs judgement on unstructured input: reading a supplier invoice in an unfamiliar layout, classifying an inbound email, summarising a call. Using a model where a rule would do adds cost and unpredictability for nothing.
What happens when an automation fails?
It should fail loudly and land in a human queue, never fail silently. Every workflow we build has explicit error handling: the failing item is held with its context, a person is notified, and the run can be retried after the cause is fixed. Silent failure is the single fastest way for a team to stop trusting an automation.
Do we own what you build?
Yes, entirely. Workflows are built in your accounts on mainstream platforms, documented, and handed over. There is no proprietary runtime you have to keep paying us for, and nothing stops your own team or another firm maintaining the work after we finish.
Free consultation
Tell us what is costing you the most time
Describe the process. You get a straight read on whether it is worth automating, roughly what it would take, and what we would tackle first — on a call that costs nothing.
- Under an hour, free, and no obligation
- Fixed price per stage, agreed before any work starts
- You own everything we build, documented and in your accounts
- If you do not need us, we will say so on that call
The form is the fastest way to reach us — we reply from a real person, usually within one business day.