Diagnostic

For companies where growth has outpaced the infrastructure. A structured assessment that shows you exactly where you stand, what the opportunities are and what to prioritise.

What You Walk Away With

Not a 200-page report - a clear picture and a plan.

Structured Assessment

A detailed breakdown across six dimensions - Systems, Data, Processes, Decisions, Knowledge and People. A baseline you can track and improve over time.

Integration Map

A complete picture of how your systems, teams and data currently flow - and where the gaps are.

Cost Analysis

Where you're overspending, where tools overlap and where renegotiation or consolidation saves money.

Process Audit

Identification of manual, repetitive work that could be automated - and an estimate of time recovered.

Knowledge Risk Assessment

Where institutional knowledge lives in people's heads instead of documented systems.

90-Day Roadmap

Prioritised plan with quick wins, structural improvements, resource requirements and clear milestones.

AI Readiness Assessment

A clear picture of whether your current systems and data can support AI implementation and what needs to change first.

What Gets Measured

The diagnostic is structured across six dimensions. Each one maps to a question your leadership team probably argues about.

Systems

Do core tools connect? Can data flow without manual effort?

Data

Can leadership answer business questions quickly and confidently?

Processes

How much repetitive manual work exists that should be automated?

Decisions

Do decisions stall because information isn't reaching the right people?

Knowledge

When someone leaves, does their knowledge stay in the company?

People

Do teams know who owns what? Or do things fall between the cracks?

What a Diagnostic Actually Produces

This is a fictional company. The patterns are real.

The Company

A 240-person B2B services company. Growing 30% year-on-year. 28 software tools across sales, finance, operations and HR. Two people spend most of their week manually reconciling data between systems. The board wants a revenue dashboard but nobody trusts the numbers enough to build one.

Findings by Dimension

Systems

28 tools, 9 overlapping. CRM, billing and finance system have no integration - data is moved manually via CSV exports every Friday.

Data

Three versions of "active customers" across sales, finance and product. Board reports require two days of manual reconciliation.

Processes

Onboarding a new client takes 14 manual steps across four systems. Reporting is entirely spreadsheet-based. Estimated 25 hours/week of automatable work.

Decisions

Leadership decisions frequently stall waiting for data that exists but lives in the wrong system. Monthly board pack takes a week to assemble.

Knowledge

One senior ops manager holds the knowledge for how all the workarounds work. No documentation. Significant business continuity risk.

People

Ownership is mostly clear at department level but cross-functional handoffs are where things fall through. New starters take 3-4 weeks to become productive.

Sample 90-Day Roadmap

Weeks 1-4: Quick Wins

  • Eliminate 6 redundant tools (est. savings: £38K/year)
  • Automate the Friday CSV export between CRM and finance
  • Document the senior ops manager's critical workarounds

Weeks 5-8: Structural Fixes

  • Build integration between CRM, billing and finance systems
  • Create single customer data pipeline - one source of truth
  • Automate client onboarding workflow (14 steps to 3)

Weeks 9-12: Foundation

  • Launch the board revenue dashboard on trusted data
  • Document all critical processes and system dependencies
  • Re-assess and measure improvement against baseline

Bottom line

Estimated £38K/year in redundant tool savings. 25 hours/week of manual work automated. One dashboard the board trusts. Knowledge risk dramatically reduced. Total diagnostic investment: £12K. Time to first visible improvement: 4 weeks.

What Companies Typically Discover

Every company is different, but patterns emerge. Here's what diagnostics consistently surface.

Redundant tools

Overlapping software that nobody would choose if starting fresh. Often one of the most immediate savings the diagnostic finds.

Hidden manual work

Real hours every week lost to repetitive processes that can be fully automated.

Multiple "sources of truth"

Different versions of the same data across different teams, none of them fully accurate.

Knowledge concentration risk

Critical business knowledge living in one person's head with no documentation.

Vendor-driven decisions

Technology choices shaped by existing vendor relationships rather than business needs.

Invisible bottlenecks

Decision-making stalled by information that exists but can't reach the right people.

Self-Contained. No Strings.

The diagnostic is a self-contained engagement. You get your findings, your map and your roadmap regardless of whether you proceed to anything further.

Many leaders use the diagnostic alone to prioritise internal improvements. No commitment to anything else.

What Happens After the Diagnostic?

If the diagnostic surfaces something that needs building - an integration, a dashboard, a workflow, a platform change - we can do that too. Same team. Same context. No re-explaining your business to a new team.

If AI is on your radar, the diagnostic tells you exactly how ready your foundation is - and what needs to happen before an AI implementation can succeed.

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Try the Quick Version First

Ten questions. Two minutes. See where you stand before committing to anything.

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