In 90 days, one number on your P&L that AI actually moved.
We build it into the systems your company already runs on, get your team actually using it, and measure the before and after — with no new subscriptions, no new headcount, and a result you can measure.
30 minutes · no deck · no follow-up sequence
- Fixed price, agreed in writing before we start
- Paid in milestones, never upfront in full
- Baseline measured before we build anything
Day-90 readout · Lead follow-up
Worked example25-person solar installer · 8 sales reps
Illustrative numbers showing what a readout contains — not a client result yet. Real readouts publish at /proof/.
The problem
Most AI projects don’t fail. They quietly stop being mentioned.
A pilot half-works. Someone gets busy. The subscription keeps renewing. Six months later nobody in the room can say whether it saved a dollar — and because nobody wrote down the starting number, nobody can prove it either way.
Where these numbers come from →95%
of enterprise GenAI pilots produced no measurable P&L return. MIT NANDA, 2025
42%
of companies abandoned most of their AI initiatives in 2025, up from 17%. S&P Global
14%
of small businesses that use AI have it fully embedded — 76% use it. Goldman Sachs, 2026
Third-party research findings, not Binarify results.
How it works
Three steps. The first one is measuring what you already have.
Phase 01 · Measure
Write the number down first
We record how the workflow performs today — cycle time, cost per task, error rate — and you sign it off before anything is built.
Phase 02 · Build and adopt
Inside the systems you already use
Not beside them. We get it live, train the people doing the work, and track who is actually using it.
Phase 03 · Prove
Same metric, same method
Measured again on day 90 and handed over in writing — flattering or not.
What we actually build
AI automation that starts with a workflow, not a tool.
Call it AI automation, AI integration or AI consulting — the work is the same. We pick one workflow where time or money quietly leaks, build the automation into the CRM, inbox or spreadsheet it already runs in, and measure the number it was costing you. These are the ones that come up most in companies of 10 to 200 people.
Lead follow-up
Every enquiry acknowledged in minutes with a real time commitment, routed to whoever is actually free, the first reply drafted from what they wrote.
Moves · time to first reply · leads never contacted
Quotes and proposals
A first draft assembled from your price book and past quotes the moment the request lands, so a person edits instead of starting from blank.
Moves · hours from request to quote sent
Customer support triage
Incoming tickets and emails read, sorted and answered where the answer is known, escalated with context where it is not.
Moves · first-response time · resolved per agent
Invoice chasing
Overdue invoices followed up on a schedule that matches how each customer actually pays, with the awkward ones flagged to a human early.
Moves · days sales outstanding
Document intake
Purchase orders, contracts, claims and forms read into the system they belong in, with the fields checked rather than retyped.
Moves · minutes per document · error rate
Client onboarding
The account set up, the documents collected and the first steps scheduled from one signed agreement, without anyone chasing.
Moves · days from signed to live
Weekly reporting
The numbers pulled from the tools that hold them and assembled into the report someone currently spends a morning on.
Moves · hours per week spent assembling
Internal knowledge
An assistant that answers from your own policies, pricing and past jobs — inside the chat tool the team already has open.
Moves · time to find an answer
If yours is not here it almost certainly still fits: one workflow, one number. The two-week diagnostic is how we find it.
Book a 30-minute call
Who you’ll work with
Ten vendors could not build my product. So I built it myself.
I’m Perumal. Twenty years writing software — Satyam, Freescale, Sony in Japan — then four years running a restaurant SaaS I ended up building with my own hands, after more than ten vendors failed to. Binarify exists to be the partner I wished I could have hired: me on every engagement, backed by a pool of more than ten senior developers and architects.
Pricing
Start at $2,500. Scale when it’s earned.
Step one
AI Impact Diagnostic
from $2,500 1–2 weeks
Credited in full against the sprint if you go ahead
We map your workflows, pick the one metric worth moving, and record where it stands today.
How the assessment works →Most engagements start here
90-Day Implementation Sprint
from $15,000 6–12 weeks
Built into your systems, adopted by your team, measured against the baseline.
Once something is live
Adoption & Optimisation Retainer
from $3,000 per month
Usage kept climbing, the metric kept moving, the numbers reported monthly.
The diagnostic fee comes off the sprint if you go ahead.
Proof
We publish every result — including the ones that don’t work.
Binarify launched in 2026, so there are no case studies to show you yet — and we would rather say that than pad this page with stock logos. Founding clients get reduced fixed pricing in exchange for permission to publish their before-and-after numbers, anonymised if they prefer.
The founding-client offer →Questions
The questions everyone asks before hiring an AI consultancy.
Both, in that order of usefulness. The consulting part is two weeks: map the workflows, pick one metric, record the baseline. The rest is building the automation into the CRM, inbox or spreadsheet the work already happens in — AI agents, integrations, drafting, routing, whatever that workflow actually needs — and then measuring the same number on day 90.
That is the normal outcome, and it is usually structural: it sat next to the workflow instead of inside it, and nobody owned getting people onto it. We start by finding out which of the three causes applied to you, because it changes what we build.
Ask any AI consultancy you’re considering for the last three baselines they recorded and the measured deltas that followed. Most of the answer is in whether they can produce numbers at all. We publish ours, including the disappointing ones.
You don’t, before the diagnostic — which is exactly why it costs $2,500 rather than $15,000. It converts the question into arithmetic: current cost per task, hours per week, and the size of the change that would be needed to break even. If the arithmetic doesn’t work, we say so and stop. If you go ahead with the sprint, the $2,500 comes off its price in full.
Then it hasn’t worked, and we count it as our failure rather than theirs. Adoption is inside the scope: the people who do the work help shape it, get trained in their own tools, and usage is tracked weekly so a drop-off is visible in days instead of quarters.
Often you should — for a single step that never touches a customer, that is the right answer and we will say so in the diagnostic. What you are paying us for is everything around the wiring: finding the workflow that actually costs money rather than the one that is easiest to automate, measuring it before anything changes, redesigning the steps so a human still approves what matters, building it into the systems your team already lives in, getting them to use it, and measuring the same number again on day 90. A developer sells you the software. We are accountable for whether the number moved.
Everything runs in your accounts, on your subscriptions, documented well enough for someone else to pick it up. Nothing routes through us, and there is no proprietary layer to keep paying for.
We work with companies across the US, UK, Europe, Canada, South Africa and Australia. Delivery is remote with fixed overlap hours agreed up front, and milestones are written so progress is visible without needing anyone in the room.
One workflow. One number. 90 days.
Thirty minutes, no deck. We look at the workflows you already run and tell you which one is worth measuring first.
Book a 30-minute callNo sales deck. No follow-up sequence.