Know where you stand before you build.

Most AI projects start with a tool. The ones that deliver start with a business problem.     

Discovery is where we find your key business problems, and work out how to fix them with AI.

What is discovery

Discovery is a two to six-week process designed to understand your day-to-day operations, surface your team's pain points, and shape AI opportunities into clear, scoped initiatives.

Through collaborative workshops (online or onsite), we map the current state of your business, audit your data and systems, and test the practicality of each proposed solution.

These workshops are facilitated by our technical experts, the same consultants and engineers you'll work with when you're ready to build.

By week six, you'll leave with a ranked opportunity list and a costed,

step-by-step plan, so you know where to invest, what to build first, and when.

What discovery involves

Discovery is a hands-on process led by our leaders and engineers who understand what it takes to turn an AI opportunity into a working system.

Stakeholder Meetings

Data & Systems Audit

Landscape Review

Process Walkthrough

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Discovery Meeting

Conversations with leadership and workshops with your team to understand business goals, pain points, and priorities.

Business Introduction

Stakeholder Workshops

Documentation Review

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Data & Systems Audit

A look at your tech ecosystem, what data and platforms exist, and where the integration constraints sit.

Data Audit

Ecosystem Mapping

Readiness Assessment

Landscape Review

A rapid review of where your competitors and suppliers are at with AI adoption.

Competitor Analysis

Global Reports & Trends

Strategic Synthesis

Process Walkthrough

Observing or mapping how key workflows happen, not just how they're documented.

Workflow Mapping

Pain Points Identified

Solution Conception

Our

process

Before anything gets built, we spend time understanding how your business works, the problems it faces, and how AI can solve them.

Week 1

Business Exploration

We meet with leadership and key teams to understand the business objective, systems and critical workflows.

Week 2

Problem Analysis

We review processes, handoffs, data inputs and approval paths to find where delays, rework, cost or risk are being introduced.

Weeks 4-6

Solution Roadmap

We define the use cases, integrations, controls and delivery sequence needed for a practical build plan.

Week 3

Opportunity Assessment

We assess each opportunity against commercial impact, then develop conceptual solutions using AI prototyping.

What you walk away with

What you walk
away with

The recommendations, technical direction and delivery plan needed for you to move forward with confidence.

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A ranked list of opportunities

Clear go or no-go decisions on every AI initiative, backed by real data on feasibility, cost, and return on investment.

A ranked list of opportunities

Make informed go or no-go decisions on AI initiatives backed by actual data on feasibility, cost, and ROI to justify the investment.

Working AI prototypes

The strongest ideas are built into prototypes and tested against your workflows, giving you proof of concept before committing to a build.

Working AI prototypes

The strongest concepts are built into prototypes and tested against your workflows, giving you proof of concept before committing to a build.

A step-by-step implementation plan

A thorough blueprint defining scope, timelines, costs and what's required from your team at each stage, from first build to full rollout.

A step-by-step implementation plan

A throrough blueprint defining scope, timelines, costs and what's required from your team at each stage, from first build to full rollout.

Ready to know where you stand?

Discovery starts with a conversation.

Talk To Us