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From “where do we start?”to agents that run your work.

Every business wants AI. Few know where it’ll actually pay off. We map that with you, then build, deploy and run the agents that do the work.

  • 6-step audit
  • ROI-ranked roadmap
  • Build and run included
AI opportunity map
AI opportunity audit · step 1 of 6Live demo
Quick wins
ImpactEffortLead follow-upInvoice entryWeekly reportingSupport triageProposal draftingSocial postingERP rebuildInbox sorting
01Lead follow-up9.2× ROI
02Invoice entry6.8× ROI
03Weekly reporting4.1× ROI

The problem

AI isn’t ChatGPT. That’s where most businesses get it wrong.

Most teams add a tool first and work out the process later.

You end up paying for seats nobody uses and automations nobody watches.

So we start with how your work actually runs, then decide what to build.

Is this right for you?

Two paths. Pick the one that matches where you are today.

Path 01

Start with strategy

  • You know AI can help, but can’t name where to start
  • You’ve tried tools that didn’t stick
  • You want an ROI-ranked roadmap, not a sales pitch
  • Your processes live in people’s heads, not docs
Book a free strategy call (opens cal.com in a new tab)
Path 02

Go straight to a build

  • Your processes are already mapped and clear
  • You know which workflow to automate first
  • You just need an expert team to build and ship it
Browse ready-made agents
The engagement

What an AI consulting engagement actually looks like

Six steps. Scroll through them and watch the audit build itself.

  1. Step 01

    We learn your goals, constraints and what “good” looks like before touching any tools.

  2. Step 02

    We chart who does what, so we automate the right work, not just the visible work.

  3. Step 03

    We document how things actually happen today, from end to end.

  4. Step 04

    We rank every automation candidate by impact, effort and ROI.

  5. Step 05

    We pick the stack and write the operating procedures, so it survives launch.

  6. Step 06

    You get a prioritised build sequence to run with us, or with anyone.

AI opportunity auditStep 1 of 6

Goals and constraints

GoalReply to every lead within one hour
ConstraintNo new hires this year
Success10 hours a week back for each rep
ScopeSales and back office first

What you get

Concrete documents you keep, not a slide deck.

Business process audit

A clear map of how work flows through your team today.

AI opportunity map

Every candidate for automation, ranked by ROI.

Tech stack recommendation

The exact tools that fit your team and budget.

SOP documentation

Operating procedures so automations don’t drift.

Tool and integration plan

How each system connects, with no dead ends.

Prioritised build sequence

What to build first, second and never.

Not sure which tool to use? That’s half the conversation.

The wrong platform choice is the most expensive mistake we fix.

If you needWe recommendWhy
Fast no-code automationsZapier or MakeBroad integrations and quick deployment.
Complex, self-hosted AI workflowsn8nFull control and far better pricing at scale.
Multi-agent AI pipelinesLangChain or LangGraphPurpose-built for agent orchestration.
Team communication and alertsSlack or DiscordNative, low-friction workflow integration.

Real results from agentic AI

From audit to agents running in production.

E-commerce

Ariqora

88% of the content pipeline fully automated, end to end.

88%pipeline automated
$12.4ksaved per month
n8nMiroDockerOpenAI
Education

School operations

Inbound school email summarised and routed automatically.

100%email clarity
182+hours saved a year
n8nSupabaseOpenAIGmail
Content

Brand Factory

85% of content production time eliminated. One operator runs it all.

85%less production time
4 → 1team to operator
n8nMongoDBOpenRouterApify

Questions, answered

Anything else? Ask us on the scoping call.

How is consulting different from a DIY course?

A course teaches you. We figure out your specific ROI map and hand you a build sequence, then build it if you want.

Do you only consult, or can you build too?

Both. Many clients start with the audit and have us build the first agents straight after. Others take the roadmap to their own team.

What’s the difference between RPA and AI automation?

RPA follows fixed rules and breaks when inputs change. AI automation can read messy inputs like emails and PDFs, make judgement calls within limits, and hand edge cases to a person.

What if our processes aren’t documented?

That’s normal, and it’s part of the audit. We document how work actually happens today before recommending anything.