For Consultancies

Make your consultancy
AI-native.
Twice the margin. Half the cycle time.

Boutique and mid-sized firms are losing engagements to consultancies that have rewired how they deliver. Same talent. Same brand. Twice the margin and a fraction of the cycle time. We help you close the gap, starting with a three-week diagnostic of how your firm runs today.

The Problem

Knowing the model isn't running the model.

Margin is under quiet pressure

AI-native competitors are cutting cycle time and adding capacity without adding headcount. Same brand, same talent, half the cycle time, twice the margin. Mid-sized firms feel it first. Renewal pricing softens, conversion drops at the proposal stage, and senior partners spend more hours on work that should compound.

The substrate is the bottleneck

A handful of firms have moved insights, market and delivery onto a shared data pipeline. The rest are running AI tools on top of a pre-AI operating model. Tooling alone doesn’t compound. The substrate underneath does, and the gap between the two groups is widening every quarter.

RUN
01 / How we run

The Operating Model Diagnostic.
Where most engagements begin.

A three-week, fixed-scope engagement. We map the gap between how you run today and the AI-native operating model: insights, market and delivery on one data pipeline. You walk away with a costed roadmap your partnership can act on, with us in Phase 2 or without.

Engagement margin

18%35%

Cycle time

2–4 wks2–3 days

Billable utilisation

55%75%
SELL
02 / What you sell

Once the operating model is in place,
build the AI service line.

Once the firm runs AI-native, the next question is what you take to market. We help consultancies design and launch AI service lines: capability assessment, service design, methodology, pricing, collateral and team readiness. Most firms tackle this after the operating-model work, not before.

01

Discovery

We assess where your firm stands today: existing capabilities, client demand signals, competitive positioning, and team readiness.

02

Capability Assessment

Map the gap between where you are and where you need to be. Identify which AI service lines align with your existing strengths and client base.

03

Service Design

Co-develop your AI consulting offerings: scope, methodology, pricing, deliverable templates, and the skills your team needs to deliver them.

04

Go-to-Market Support

Build repeatable sales collateral, case study frameworks, and positioning strategy so your team can confidently take AI services to market.

Outcome

A new, sellable AI consulting capability, with the methodology, collateral, and team readiness to deliver from day one.

Why Us

We've Built This.
Not Just Advised On It.

Most AI consultants have never built an AI product. We have. We sit at the intersection of cybersecurity, AI, and software engineering, with a track record of shipping real products and real client outcomes.

Practitioner Credibility

  • We’ve built AI products from zero to production and understand what that takes
  • Deep technical background across software engineering, cybersecurity, and applied AI
  • We know the difference between a strategy deck and a shipping product
  • Every recommendation we make comes from hands-on experience
Cybersecurity + AI + Software Engineering
LET'S GO

Two questions. One conversation.

Whether the priority is rewiring how the firm runs or building what it sells, a 30-minute call is the right place to start.

Book a call