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AI Consulting

AI that fits your business, not the hype cycle.

We size the AI solution to your business, not to the trend. That means lower cost, less wasted tooling, and workflows your team actually uses.

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How We Think About This

01

The Problem

AI stacks get sold, not diagnosed

Vendors lead with a demo and a package size, not a look at your actual operations.

02

The Impact

Budget and attention get wasted

Subscriptions pile up, adoption stalls, and nobody can say whether the spend actually reduced cost or time.

03

The Solution

Audit first, build only what's justified

We map your operations, size AI to what actually pays off, and build it ourselves, no unnecessary agent sprawl.

The Problem

Most businesses get sold more AI than they need

Vendors sell oversized AI stacks because bigger contracts are more profitable, not because your business needs a full agent platform. The pattern looks like this:

Our Approach

Audit first, build second

We start by looking at your current operations, not a product catalog. We find where AI actually reduces cost or time, and we skip everything else. No unnecessary agent builds. No tool sprawl. If the answer after the audit is "you don't need this yet," we tell you that.

A typical AI vendor

Afily

Sells the biggest package they offer
Recommends the smallest thing that solves it
Leads with the demo
Leads with your actual workflow data
Success = tool adoption
Success = cost or time actually reduced
Hands you a vendor to configure yourself
Builds and ships it, then supports it

In Practice

What this looks like in practice

A few examples of where audit-first AI work tends to pay off fastest, and the signals that tell us it's worth looking at.

Customer support automation

Deflect repetitive tickets and route the rest to the right person, without replacing the humans who handle nuance.

Signs it's worth auditing

  • High ticket volume on repeat questions
  • Slow first-response times
  • Support team drowning in triage

Internal reporting

Turn scattered spreadsheets and dashboards into a system that surfaces what changed and why, on a schedule your team actually reads.

Signs it's worth auditing

  • Weekly reports built by hand
  • Decisions made on stale data
  • No one owns the numbers

Content workflows

Draft, structure, and route content through the people who need to approve it, cutting the time between idea and published.

Signs it's worth auditing

  • Content bottlenecked on one person
  • Long draft-to-publish cycles
  • Inconsistent quality across writers

Inventory & ops forecasting

Use your own historical data to flag reorder points and demand shifts before they become a stockout or a write-off.

Signs it's worth auditing

  • Frequent stockouts or overstock
  • Forecasting done on gut feel
  • Ops decisions lag the data by weeks

How It Runs

How an engagement runs

01

Audit

We map your current operations and tooling, and identify exactly where AI reduces cost or time, and where it doesn't.

  • Operations & tooling map
  • Cost/time breakdown by workflow
  • A written no-list: what we're NOT recommending, and why

02

Roadmap

A prioritized plan sized to your business: what to build first, what to skip, and what it costs to get there.

  • Prioritized build list, ranked by ROI
  • Rough cost and timeline per item
  • Build-vs-buy recommendation per workflow

03

Implementation

We build and ship the workflows and integrations ourselves, not just hand you a slide deck.

  • Working integrations, not prototypes
  • Documentation your team can actually use
  • Handoff walkthrough with your team

04

Maintenance & advisory

An ongoing retainer to keep what we built working as your business and the underlying models change.

  • Monitoring for breaking model/API changes
  • Monthly usage & cost review
  • Advisory access when new AI options appear

Real client, real system

AI-assisted quoting, same-day

For Optima Bags, we built AI-assisted quoting that turns a factory enquiry into a buyer-ready mockup the same day, plus WhatsApp task automation for staff. Built and still running, not a pitch deck.

Read the case study →

What Clients Say

From businesses we've audited

“Add a real client quote here — what changed for them, in their words.”

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[Client Name]

[Role, Company]

“Add a real client quote here — what changed for them, in their words.”

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[Client Name]

[Role, Company]

“Add a real client quote here — what changed for them, in their words.”

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[Client Name]

[Role, Company]

FAQ

Common questions

Find out what AI is actually worth to your business

One audit call. No pitch for a platform you don't need.

Book an Audit Call