Frequently Asked Questions

It depends on scope. Our Diagnostic & Pilot engagement takes 2-4 weeks and gives you a clear picture of readiness plus a working proof of concept. A full Intelligence Core Build typically takes 6-12 weeks, including infrastructure development, team enablement, and initial adoption. Ongoing Advisory support continues as long as you need strategic guidance.

We price based on scope and duration rather than hourly rates. Our Diagnostic & Pilot starts at £15,000 and includes assessment, pilot implementation, and recommendations. Intelligence Core Build engagements typically range from £50,000-150,000 depending on complexity. We're always transparent about costs before engagement begins.

Three things: First, we embed with your team rather than delivering from outside—knowledge transfer happens through working together. Second, we focus on change management, not just technology—because adoption is where most implementations fail. Third, we build infrastructure that compounds over time, not just point solutions.

We primarily work with mid-market and enterprise organisations (typically 200+ employees) where AI implementation complexity requires dedicated support. Smaller organisations can often achieve good results with off-the-shelf tools and lighter-touch guidance—we're happy to recommend alternatives if we're not the right fit.

Our methodology applies across industries—we've worked with technology companies, financial services, healthcare, and professional services firms. The specific industry matters less than having complex operations where AI can add value and teams ready for change. During our assessment, we evaluate fit based on your specific context.

Failed pilots often teach more than successful ones. We start by diagnosing why the pilot failed—usually it's infrastructure gaps, change management issues, or verification bottlenecks. Understanding the root cause lets us design an approach that addresses the real problems rather than repeating the same mistakes.

No. We're implementation specialists, not model builders. We help you deploy and adopt existing AI capabilities (whether that's GPT, Claude, or enterprise platforms) effectively within your organisation. Building custom models is rarely the bottleneck—adoption and infrastructure are.

We define success metrics with you before engagement begins. Typically we measure both adoption metrics (how many people are using the system, how deeply, how consistently) and impact metrics (time saved, quality improvements, decision speed). We track these throughout engagement and provide regular reporting.

A 30-minute conversation where we understand your current state, identify potential quick wins, and discuss whether our approach is right for your situation. You'll walk away with actionable insights regardless of whether we work together. No sales pressure, no commitment required.

Yes. We're tool-agnostic and integrate with whatever platforms you're already using. Our focus is on workflow and adoption, not replacing your technology. We'll help you get more value from existing investments before recommending new tools.

The three most common challenges are: first, missing infrastructure — AI systems can't be useful at scale without organisational context built in (what we call an Intelligence Core). Second, change management — getting people to actually adopt AI is harder than deploying it; most implementations fail here, not in the technology. Third, slow verification loops — at scale, validating AI outputs becomes the bottleneck, slowing learning cycles. Our entire methodology is designed around solving these three challenges.

We recommend five steps: (1) Diagnostic — understand what's actually blocking adoption before investing; (2) Quick win — pick one high-value, low-risk use case to prove the model works; (3) Build your Intelligence Core — create the context infrastructure AI needs to be useful; (4) Change management — involve your team early, measure adoption not just performance; (5) Verification loops — design feedback systems that let AI improve over time. Our Diagnostic & Pilot engagement covers steps one and two, giving you a clear roadmap before committing to full implementation.

Yes. Integration is always a core part of our work. We assess your current stack during the Diagnostic phase, identify where AI can add the most value without disruption, and design integration patterns that work with your existing systems. We're platform-agnostic — whether you're using Microsoft 365, Google Workspace, Salesforce, or bespoke systems, we've integrated AI into complex enterprise environments.