AI transformation · Small & mid-sized businesses

Make AI earn its place in your business.

We study how your company actually runs, find the handful of things genuinely worth automating, and build them. The assessment is one fixed fee. Everything after that is tied to results you can measure.

No improvement. No invoice.

Most small and mid-sized businesses don't need more software. They need the right work taken off people's plates — and the judgement to know which work that is.

Who we work with

Built for businesses like yours.

Aislene is a fit for established small and mid-sized companies that want measurable results — not a science project. You'll probably recognise yourself here.

Small to mid-sized

Roughly 10 to 250 people, established and profitable, with real operations worth optimising — not a pre-revenue startup.

Weighed down by manual work

Your team loses hours to repetitive tasks — data entry, chasing approvals, copying between systems — that a machine should be handling.

Wary of big IT projects

You've watched software promises overrun on time and budget, and you want proof before you commit real money.

Focused on the bottom line

You care about outcomes you can measure — cost saved, capacity freed, revenue unlocked — more than technology for its own sake.

The approach

Three steps. One clear path.

A straight path from how your business runs today to a leaner, faster version of it — with nothing automated that shouldn't be.

01
Assess

See how your business really operates.

We map your processes, systems, and the technology already in place — no assumptions, no jargon. You come away with a clear, honest picture of where time and money actually go.

02
Identify

Find the automation worth doing.

We pinpoint the opportunities that pay off — with AI where it genuinely fits, and simpler tools where it doesn't. Each one is sized by effort, cost, and the return you can expect, then ranked.

03
Transform

Grow output, cut cost — and stay accountable.

We simplify first and automate second, then implement the changes and stand behind the results. Your team does more of the work that matters and less of the work a machine should be doing.

A worked example

How an engagement plays out — start to finish.

We're a new firm, so this isn't a real client. It's a composite illustration built from the kind of work we do — with deliberately conservative numbers — so you can see the method in action.

Meridian Supply Co. Regional distributor · 45 staff · $18M revenue
Illustrative · not an actual client
The presenting problem — "Orders come in by email and PDF. Three people spend most of their day re-typing them into our ERP, it takes two days to confirm an order, and the typos are costing us in returns."
01 · Assess — what we found

Two weeks mapping the order-to-cash flow surfaced the real costs hiding in plain sight:

  • Order → confirmation~2 days
  • Team time on manual entry~60%
  • Orders with entry errors~7%
  • ERP already owned, underused
02 · Identify — ranked by return

Six opportunities, sized by effort and payoff. We greenlit three and, tellingly, talked them out of one:

  • 1. AI order intake → ERPHIGH · MED
  • 2. Rule-based auto-quotingMED · MED
  • 3. Overdue-invoice flagsMED · LOW
03 · Transform — what we built

Simplified the intake step first, then automated it. An AI pipeline now reads incoming orders and PDFs, drafts the ERP entry, and flags anything ambiguous for a one-click human confirm — no rip-and-replace, no new system to learn.

The outcome · measured against the baseline
Order → confirmation 2 days4 hrs
Team time on manual entry 60%18%
Order-entry error rate 7%<1%
Capacity recovered ~1.5 FTE
The invoice · how outcome-based pricing worked here
Agreed baseline cost of the old process (per year) $205,000
Verified first-year saving (recovered time + fewer returns) $140,000
Our fee — a share of the gain we delivered $28,000

Had the numbers not moved, the fee would have been $0 — the assessment fee is all Meridian would ever have paid. That's the whole point: we're paid out of savings that wouldn't exist without us.

How we work together

Pay for clarity once. After that, only for results.

An honest commercial model that keeps our incentives pointed at the same thing yours are: measurable improvement.

Step one · one-time

The Assessment

A fixed-fee review of your processes, systems, and technology — with a prioritized roadmap of where AI and automation can move the needle. Yours to keep and act on, with us or without us.

  • Full operational & technology review
  • Prioritized opportunity map
  • Clear, per-opportunity ROI estimates
  • No obligation to continue
Step two · outcome-based

The Engagement

We implement the roadmap and get paid on the improvement we deliver — measured against baselines we agree on up front. If the numbers don't move, neither does your invoice.

  • Shared, measurable targets
  • Fees tied to results, not hours
  • Fully aligned incentives
  • No long lock-ins
No improvement. No invoice.

It's the simplest promise we can make — and the one that keeps us honest. We only win when your business does.

Why it works

Fewer moving parts. Better incentives.

Pragmatic

AI only where it earns its keep. Often the biggest wins are simpler than that — a removed step, a cleaner handoff — and we'll tell you when that's the case.

Aligned

Our fee depends on your outcome. That single fact changes every recommendation we make — we're paid to be right, not to be busy.

Vendor-neutral

We don't resell software or take kickbacks. We recommend the tools that actually fit your business, even when the answer is the one you already own.

Questions

The details, up front.

The way we price naturally raises questions. Here are straight answers.

How do you measure “improvement”?
During the assessment we agree on a small set of baseline metrics that matter to your business — hours spent on a process, cycle time, error rate, cost per order, and the like. We measure those before we start and again once the changes are live. Your outcome-based fee is calculated only against the movement in those agreed numbers, so there's never a debate about what counts.
What does the assessment cost, and what do I get?
The assessment is a fixed, one-time fee, quoted up front based on the size and complexity of your business — no open-ended hourly billing. You receive a full review of your processes, systems, and technology, plus a prioritised roadmap of automation opportunities with ROI estimates. It's yours to keep and act on, with us or with anyone else.
What happens if the results don't materialise?
Then you don't pay for the engagement. Beyond the one-time assessment fee, our fees are tied to the improvement we deliver against the baselines we set together. No improvement, no invoice — it's the core of how we work, and it keeps our incentives pointed at your bottom line.
Do we have to replace our existing software?
Almost never. We're vendor-neutral, and we start by simplifying and connecting what you already own. We recommend new tools only when they clearly pay for themselves — and we'll happily tell you when the smarter move is to change a process rather than buy anything at all.
How long does a typical engagement take?
The assessment usually takes two to four weeks. Implementation depends on scope, but we deliberately start with the highest-return, lowest-effort opportunities, so you see measurable results within the first few weeks — not at the end of a long project.
Is our data safe?
Yes. We sign an NDA before the assessment, work within your existing systems and access controls, and use enterprise-grade, privacy-respecting tools. We never train public AI models on your data, and you own everything we produce for you.

Start here

Start with the assessment.

One fixed fee, one clear roadmap, zero obligation to continue. See exactly where AI and automation can move the needle in your business — before you commit to anything more.