AI strategy and governance, delivered with engineering discipline

Turn AI confusion into clarity
and measurable action.

Pilotry helps leadership teams select the right AI opportunities, de‑risk delivery, and ship pilots that stand up to scrutiny. Calm, practical, outcome‑driven.

Clear next steps in days, not months
Business outcomes, not demos

Services

Three ways to engage—depending on where you are today.

Clarity

AI Opportunity Workshop

Align stakeholders and identify a shortlist of opportunities tied to business outcomes and constraints.

  • Map friction points and high‑leverage workflows
  • Score opportunities by impact, feasibility, and risk
  • Leave with a prioritised shortlist
Decision

Leadership‑ready Blueprint

A concise plan you can take to leadership: scope, data needs, governance, delivery plan, and success metrics.

  • Define pilot scope and acceptance criteria
  • Establish ownership and governance guardrails
  • Specify measurable KPIs and ROI model
Delivery

De‑risked Pilot Delivery

Build and ship a pilot in weeks—instrumented for learning, reliability, and stakeholder confidence.

  • Rapid prototyping with controlled experimentation
  • Evaluation, testing, and operational readiness
  • Clear “scale or stop” decision package

Free AI Tools

Three free tools designed as lead magnets to help teams assess readiness, discover use cases, and estimate implementation ROI.

Free Tool

AI Readiness Calculator

Quickly benchmark your organization’s readiness across strategy, data, process, and governance.

Open Tool

Free Tool

AI Use Case Generator

Generate high-potential use cases tailored to your workflows, constraints, and business goals.

Open Tool

Free Tool

AI ROI Calculator

Estimate financial impact and payback timelines for specific AI implementations.

Open Tool

How we work

AI moves pressure up the org chart. Our process keeps decisions explicit and delivery disciplined.

1

Surface constraints early

Data realities, stakeholder incentives, risk appetite, and operational constraints—before anyone builds anything.

2

Choose one high‑leverage use case

Avoid “AI everywhere”. Pick a workflow where speed, accuracy, or cost will measurably improve.

3

Instrument for proof

Define metrics, baselines, and decision thresholds so outcomes are measurable, not anecdotal.

4

Deliver a “scale or stop” package

A pilot is only successful if it makes the next decision easier and safer.

Less theatreFewer decks. More decisions.
More controlGuardrails you can explain.
Faster learningShort loops, measurable outcomes.

Want to explore one concrete AI opportunity?

Bring one workflow and one outcome. You’ll leave with a clearer decision—even if we don’t work together.

Book a 30‑min call

Proof, not promises

Most AI programs stall at strategy decks. Our work is measured by concrete pilot decisions, operational movement, and accountable ownership.

Representative Pilot Outcomes (Anonymized)

Typical results from focused 6-10 week pilot engagements in operations-heavy B2B teams.

  • Pilot go/no-go decision package: delivered in 8-15 business days after discovery
  • Shortlist quality: 3-5 use cases scored by feasibility, impact, and confidence
  • Operational movement: 18-32% cycle-time improvement in initial scoped workflows
  • Governance readiness: named owner, KPI baseline, and human-review controls defined before launch

These are representative ranges from recent projects, not guaranteed outcomes.

Client Signals

Recent buyer-side feedback from anonymized engagements.

Professional Services Firm COO, 140-person advisory team

"The value was decision clarity. We had one use case, one owner, and a threshold everyone agreed on before build started."

Pilot decision package: 11 business days
B2B SaaS Company VP Operations, customer support org

"We stopped debating tooling and started measuring outcomes. The team got a practical rollout path instead of another strategy doc."

Ticket routing cycle time: -24%
Finance Operations Team Head of Finance, multi-entity group

"The workshop forced real assumptions and gave us an ROI model leadership could challenge and trust."

Manual reconciliation effort: -21%

FAQ

A few common questions that come up in first conversations.

Do you build models?

Sometimes—but only when it’s necessary. Most value comes from choosing the right workflow, constraints, and measurement model first.

How do you handle governance and risk?

We make constraints explicit early: data handling, human oversight, evaluation, and accountability. No “trust the model” hand‑waving.

How long does a pilot take?

Typically weeks, not months—if the scope and success criteria are defined properly. We optimise for fast, defensible learning.

What should I do before a call?

Nothing. If you can describe one workflow you’d like to improve and the outcome you care about, that’s enough.

Contact

Send a short message. You’ll get a reply with next steps.

Book a call

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Tip: one workflow + one desired outcome is enough.
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We usually reply within one business day with a short diagnostic and suggested next step.

No sales deck required.