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Services

We start with the problem, not the practice area.

A market that moved, growth that slowed, a future that looks less certain. Each service begins with one of these tensions and ends with a decision.

01 / 04

Strategy & Transformation

“Our strategy no longer matches the market we are in.”

Reset direction, redesign the operating model, and sequence the change so the organisation can carry it.

Signs you need this

  • Your plan assumes a market that has moved
  • Initiatives compete for the same people
  • Leaders describe the strategy differently

What we do

  1. Corporate and business-unit strategy
  2. Operating model and organisation design
  3. Portfolio choices and capital allocation
  4. Transformation planning and mobilisation

What you leave with

  • A strategy your leadership team has argued through and owns
  • A sequenced roadmap with named owners
  • Measures that show whether the change is holding
  1. Phase 1Diagnose
  2. Phase 2Design & decide
  3. Phase 3Mobilise
Discuss this challenge

02 / 04

Growth & Opportunity Discovery

“We need new growth, but can't see where it should come from.”

Find, size, and test the growth options worth pursuing, from adjacent markets to new customer segments.

Signs you need this

  • Core growth is slowing
  • Opportunities are debated on opinion
  • Past expansion stalled after launch

What we do

  1. Market mapping and opportunity sizing
  2. Customer and demand research
  3. Pricing and go-to-market design
  4. Partnership and M&A screening

What you leave with

  • A ranked set of growth bets with evidence behind each
  • Investment cases built on testable assumptions
  • A go-to-market plan for the first move
  1. Phase 1Diagnose
  2. Phase 2Design & decide
  3. Phase 3Mobilise
Discuss this challenge

03 / 04

Innovation & Future Planning

“We're planning for one future when several are plausible.”

Build the foresight and portfolio discipline to prepare for more than one future, and act early on the right signals.

Signs you need this

  • Disruption keeps arriving as a surprise
  • Innovation spend lacks a clear thesis
  • Long-range plans extrapolate last year

What we do

  1. Scenario planning and strategic foresight
  2. Innovation portfolio design
  3. Venture building and new business models
  4. Early-signal monitoring

What you leave with

  • Scenarios with the decisions each would trigger
  • An innovation portfolio balanced across horizons
  • Signposts that show which future is arriving
  1. Phase 1Diagnose
  2. Phase 2Design & decide
  3. Phase 3Mobilise
Discuss this challenge

04 / 04

AI & Emerging Intelligence

“We have data and AI pilots, but our decisions haven't changed.”

Put data, analytics, and AI to work on the decisions that matter, with governance your leadership can trust.

Signs you need this

  • Pilots never reach everyday work
  • Leaders don't trust outputs enough to act
  • AI spend isn't tied to decisions

What we do

  1. AI opportunity and readiness assessment
  2. AI strategy and roadmaps
  3. Analytics and AI use-case delivery
  4. AI governance and operating model
  5. Superintelligence and quantum readiness reviews

What you leave with

  • AI use cases tied to specific decisions
  • Models leaders can question and understand
  • Governance that lets you scale safely
  1. Phase 1Diagnose
  2. Phase 2Design & decide
  3. Phase 3Mobilise
Discuss this challenge
Sectors and use cases

Where we work, and what we work on.

Every sector has its own economics. These are the problems we see most often across strategy, growth, and intelligence.

  • Healthcare and life sciences

    • Hospital capacity and network planning
    • Care-pathway and operating redesign
    • Adopting AI in diagnostics and admin

  • Supply chain and logistics

    • Network and warehouse footprint
    • AI demand forecasting and planning
    • Supplier risk and resilience scenarios

  • Banking and financial services

    • Growth and product portfolio strategy
    • Agentic operations and service
    • Post-quantum security readiness

  • Manufacturing and industrials

    • Plant productivity and cost
    • Predictive maintenance and quality
    • Make-or-buy and footprint choices

  • Retail and consumer

    • Market entry and format strategy
    • Pricing, assortment, and promotions
    • Personalisation at scale

  • Energy and climate

    • Transition and portfolio strategy
    • Grid and asset optimisation
    • Policy and price scenarios

  • Technology and telecom

    • Product and platform strategy
    • Pricing and monetisation
    • AI product roadmaps

  • Public sector and education

    • Programme and service design
    • Digital public infrastructure
    • Responsible AI policy
The intelligence horizon

From today’s AI to superintelligence and quantum.

Leaders don’t need predictions. They need to know which forms of intelligence will matter for their decisions, when, and what to do about each one now.

Deploy now

Applied AI

Machine learning, forecasting, and generative AI that already improve everyday decisions in pricing, planning, and service.

Tie every use case to a named decision, then measure whether the decision got better.

Pilot in the next 1–3 years

Agentic AI

Systems that plan and carry out multi-step work with limited supervision, from research to operations.

Redesign workflows, controls, and accountability before you scale them.

Prepare now for a 5–15 year horizon

Superintelligence

AI that could exceed human ability across most cognitive work. Experts disagree on whether and when it arrives. The direction of travel already matters for strategy: which skills, moats, and business models hold up if capability keeps compounding.

  • Board scenarios for rapid capability growth
  • Stress tests for moats and workforce plans
  • Governance and safety questions for vendors
Watch and prepare

Quantum intelligence

Quantum computers may eventually speed up specific problems: optimisation, molecular simulation, and breaking today's encryption. Practical advantage is still narrow.

Assess post-quantum cryptography exposure and short-list the problems worth testing.

Always

Human and collective intelligence

The judgment, context, and shared knowledge inside your organisation. Every other form of intelligence is only as useful as the decisions people make with it.

Clarify decision rights, build learning loops, and train leaders to question models.

How we help you prepare

  1. Intelligence readiness diagnostic

    Where AI, agents, and quantum touch your value chain, and what to do first.

  2. Capability scenarios for the board

    Three futures for AI capability, with the decisions each one would trigger.

  3. Quantum and cryptography exposure

    Which systems and data need post-quantum protection, and on what timeline.

Ways to work with us

Engagements sized to the question.

Every engagement starts with a scoping conversation, so the shape fits the decision.

  • 01

    Diagnostic

    A focused look at one question.

    • Fact base and interviews
    • Options and an initial view
    • A plan for what comes next

    Scope, duration, and fees agreed per engagement

  • 02

    Strategy programme

    From framing to an agreed plan.

    • Joint VNIQ and client team
    • Workshops at each decision point
    • Roadmap, owners, and measures

    Scope, duration, and fees agreed per engagement

  • 03

    Ongoing advisory

    A senior thinking partner on call.

    • Regular working sessions
    • Board and leadership preparation
    • Horizon and signal briefings

    Scope, duration, and fees agreed per engagement

Start here

Have a decision on the table?

Tell us what you are weighing. A senior member of the team will read it and reply personally.

  • Read by a partner, not a sales team
  • Reply within two business days.
  • No obligation
  1. We read every noteA senior team member reviews it personally.
  2. A short conversationIf there is a fit, we arrange a call.
  3. A written proposalScope, approach, team, and timeline.