An AI automation consultant maps repeated work and builds the workflow that removes manual cost. The deliverable is not a strategy deck. It is a working system your team can use, review, and own.
At Nine Signals, the work starts with the task your team already repeats. Then we decide whether AI belongs in the workflow at all.
What an AI automation consultant actually does
We find the repeated task, map how it really happens, build the workflow, test it with the people who will use it, and document it clearly. That may include AI, automation, APIs, n8n, CRM updates, document handling, alerts, dashboards, or human approval gates.
- Find the task slowing the team down.
- Map handoffs, inputs, decisions, outputs, and edge cases.
- Build a workflow around your existing tools where possible.
- Test the output with real examples.
- Hand over documentation your team can understand.
When to hire us. When not to.
The strongest signal a consultancy can give is honesty about fit. Here is ours.
Hire us when
- Your team repeats the same work every week.
- Buying AI tools has not made the work faster.
- Handoffs between people or systems keep breaking.
- Sensitive data needs careful treatment.
- You want a documented workflow your team owns.
Do not hire us if
- You want a one-off script or quick prompt.
- You want a strategy deck without an attached build.
- You want AI to replace people instead of supporting them.
- The work is not actually repeated.
How we work: Map / Build / Deploy / Improve
Map
Find the repeated task, handoffs, inputs, decisions, and final output. We map the work as it really happens, not as the process document says it should.
Build
Create the workflow using the right mix of automation, AI, data handling, and human review. Simple where possible. More engineered only where needed.
Deploy
Test it with the people who will use it, then put it into everyday use with clear handover. Adoption is part of the work.
Improve
Tighten weak points, review what is working, and adjust the workflow as the business changes.
Examples of workflows we have built
See more in Selected Work.
- Security intelligence workflow. Twice-daily OSINT briefings using public feeds, APIs, and structured watchlists.
- Local sales workflow. Handwritten outreach connected to Loom, ClickUp, Gmail, WhatsApp, and n8n.
- Finance operations workflow. A self-hosted n8n workflow in Docker that kept sensitive data inside the client environment.
What it costs
Engagement structure depends on the workflow, systems involved, and data risk. Three models cover most projects.
| Engagement | Scope | Timeline |
|---|---|---|
| Workflow audit | Map one repeated task end to end and identify the first workflow worth building. | Half day to one day |
| Single workflow build | Map, build, test, document, and hand over one workflow. | Two to six weeks |
| Ongoing improvement | Continuous review and refinement of live workflows. | Monthly |
Common questions
How long does an AI automation project take?
Most single-workflow builds take two to six weeks. A workflow audit alone takes half a day to a day.
What tools do you work with?
We work with the tools you already use. Common stacks include Google Workspace, Microsoft 365, n8n, ClickUp, HubSpot, Pipedrive, Notion, Airtable, document stores, and CRMs.
How do you handle data privacy?
We design workflows with data minimisation in mind. That can include redaction, access controls, human review, audit trails, and self-hosted tooling where needed.
Will my team be locked into your tools?
No. Workflows are documented clearly with walkthroughs, SOPs, and logic your team can read and modify.