Advolium
Advolium/Practices

Four practices.
One team. One bill.

Technology, transformation, change and AI are facets of the same problem. We build the team to match.

i.

Technology

Who it servesCIOs, CTOs and PE operating partners looking at a platform decision, a stuck programme, or a tech estate that is no longer fit for purpose.

We think like a CIO who has to live with the choice — not like a vendor who has to sell it.

  1. 01
    Target architecture & tech strategy
    A defendable picture of where the technology estate needs to be in 24 months, with the trade-offs made explicitly and the sequencing realistic.
  2. 02
    ERP, CRM and platform selection
    Vendor-independent selection on the criteria that actually matter — total cost of operate, fit to the operating model, and credible time-to-land.
  3. 03
    Delivery assurance & programme rescue
    An honest read of where a programme is, what is recoverable, and what must change in governance, sequencing or sponsorship before it can land.
  4. 04
    Data & integration foundations
    The unglamorous work that decides whether the rest of the stack delivers value: master data, integration patterns, observability.
  5. 05
    Cyber & resilience posture
    Pragmatic, board-grade cyber: not a 200-page report — a prioritised plan that reflects the threat model of a mid-market business.
ii.

Transformation

Who it servesCEOs, CTOs of the operating model, COOs and PE operating partners who own the EBITDA bridge and have to deliver it.

Structural change that moves the business — not workshops that produce a wall of post-its.

  1. 01
    Operating-model redesign
    From the principles down to the role descriptions. Designed for the company you actually are, not the one in the org chart.
  2. 02
    Post-merger integration
    100-day plan through to synergy realisation, with the systems, processes and people work-streams sequenced under one programme.
  3. 03
    Cost & performance programmes
    Cost-out that is durable — not a one-off compression that returns in eighteen months because the operating model did not change.
  4. 04
    Transformation office & PMO
    We run the office, sit in the steerco, and hold the workstreams to the calendar. Partner-led, not staffed up.
  5. 05
    Value-creation plans for PE
    100-day plans and through-cycle value plans for sponsors and management teams, written to be executed — not to be presented.
iii.

Change & Adoption

Who it servesCHROs, transformation leads and any sponsor accountable to a board for the question: did people actually start using it?

The discipline of getting real people to use what was bought, in the way it was meant to be used.

  1. 01
    Adoption design & measurement
    Adoption planned the way technology is planned: with a target, a baseline, a measurement cadence, and named owners.
  2. 02
    Leadership alignment & sponsorship
    The work of aligning the top fifteen people so the change has a single voice, sustained, after the launch comms have stopped.
  3. 03
    Workforce & capability planning
    What skills the new operating model needs, what the gap is, and which of buy / build / partner closes it credibly.
  4. 04
    Communications & engagement
    Plain, well-paced internal communications. Few channels, few messages, and the discipline to repeat them.
  5. 05
    Manager enablement
    First-line managers are where every transformation is won or lost. We design the toolkit, train, and stay through the first cycle.
iv.

AI

Who it servesExecutives who need an answer about AI that is neither a slogan nor a hackathon — and who will be asked, in twelve months, what it delivered.

An operating discipline, not a hackathon — and an honest line about where it does not yet belong.

  1. 01
    AI strategy & portfolio
    A short, defendable view: which capabilities are differentiating, which are commodities, and where AI moves the needle in your business this year.
  2. 02
    Use-case design & valuation
    From a long list to a ranked shortlist — with realistic value, realistic cost, and a credible adoption path. We discard at least half.
  3. 03
    Agent & copilot deployment
    Two deployed agents inside one function, measured for adoption and outcome — not a demo, not a sandbox.
  4. 04
    Governance, risk & data readiness
    The model-risk, IP, privacy and EU-AI-Act work that turns experiments into production-grade capability. Done before, not after, the press release.
  5. 05
    AI literacy at the top
    Quiet, frank executive briefings — what AI is, what it is not, what your peers are actually doing with it. No demos, no jargon.

A practice
or all four.

The team you need depends on the problem. Tell us the problem; we will tell you what mix of the four practices fits — and what does not.

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