Project Accelerate Lynxeye

A proposal for Lynxeye · May 2026

Project Accelerate Lynxeye

Build on the AI infrastructure now arriving, and turn it into more capacity, stronger capability, and better client work inside Lynxeye. HQ and Eraneos create the conditions: platforms, approved tools, security, data access, and guardrails. The value appears when Lynxeye turns that foundation into smooth use, stronger client delivery, better pitches, and reusable company practice.

See the value matrix

The bridge

From HQ infrastructure to Lynxeye working value.

Infrastructure matters because it gives Lynxeye a secure and scalable foundation to build from. The project role is to help that foundation show up in the work: smoother setup, stronger client projects, sharper pitches, better review habits, and company-owned practice.

HQ and Eraneos

Create the conditions.

Infrastructure, approved tools, security, data access, platform direction, and group-level guardrails.

Lynxeye

Turns it into work.

Smooth AI use, client delivery capacity, stronger capability, better pitches, review rhythms, and reusable practice.

Project role

Build the bridge.

Connect infrastructure to daily use, live projects, and commercial evidence so Lynxeye can decide what should scale next.

Accelerate with AI value matrix

The proposal in one view.

The matrix shows who benefits, where value is created, and how the work moves from scope and setup into proof through live work. The center is client projects: building capacity and capability in real delivery.

Directional value case

Commercial logic connected to the matrix.

The simulator is not proof. It makes the commercial signals from client projects and client pitches discussable: capacity captured, pitch speed, win probability, and hiring pressure. Phase 1 calibrates the assumptions. Phase 2 replaces them with Lynxeye evidence.

Current scenario

Captured capacity

Formula: employees x billable hours x delivery compression x capture rate, shown with uncertainty. Directional only. 10,900 to 14,800 hours For Lynxeye at 70 people, roughly 12,850 hours survives work creep before uncertainty.

Gross capacity value

Formula: captured capacity range x blended billing rate. This is gross equivalent value, not net profit. 32.6 to 44.3M SEK If captured as billable work at 3,000 SEK/hr.

Pitch-equivalent capacity

Formula: baseline pitches divided by compressed cycle, then minus baseline pitches. Capacity only, not a sales forecast. +3.0 At 12 baseline pitches and 20% compression.

Hours returned / consultant / week

Formula: captured capacity divided by employees and working weeks. This is what the model feels like in the week. 4.0 hours Roughly 0.5 workdays per consultant per week.

Expected additional wins

Formula: baseline pitches x baseline win rate x win-rate improvement. No revenue value is assigned. +0.4 At 12 qualified pitches per year and a 35% baseline win rate.

Captured vs absorbed time

Formula: captured time equals raw freed capacity x capture rate. Absorbed time is the remainder. 55% captured / 45% absorbed Phase 1 and Phase 2 are partly about moving this split in the right direction.

Every 1 percentage point increase in captured time is worth roughly 210 hours / 630k SEK gross capacity at current settings.

Hiring pressure

Capability can ease pressure without pretending people are optional.

Pricing stays [TBD]

This is not a headcount reduction argument. It is a hiring pressure argument: hire where human judgment is needed, and let playbooks absorb repeatable production load.

3 hires
Default: 3 hires. Range lets Christian test whether capability could reduce, but not remove, immediate hiring pressure.

Capability support level 50%

Old answer: hire 3. Capability answer: hire about 2, while playbooks absorb the pressure of roughly 1 role.

Old hiring run-rate 3.6 to 4.5M SEK / year
Hiring run-rate not immediately added 1.2 to 1.5M SEK / year
Remaining hiring run-rate About 2 hires still needed

Balanced lift keeps roughly 1 role out of the immediate hiring pressure. Project Accelerate pricing stays [TBD].

Where these numbers come from

Source status: directional references for the draft model. Henrik should confirm final citations before external sharing.

Productivity potential: McKinsey, The Economic Potential of Generative AI.

Task-level consulting evidence: HBS AI Institute, Navigating the Jagged Technological Frontier.

Adoption and value capture: BCG and McKinsey research on capability expansion and organizational rewiring.

Lynxeye-specific: conversations with Christian, May 2026. Defaults should be calibrated in Phase 1.