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Technology Consulting

Practical technology decisions, made with the trade-offs on the table

Ufanzo helps you decide what to build, buy, modernise or leave alone — with a clear assessment, a prioritised plan, and an honest account of what each option costs.

Why it matters

The problem before the solution.

The expensive technology mistakes are rarely implementation mistakes. They are decisions made without enough information: a platform chosen because it was familiar, a rewrite started because the existing system was unfamiliar, a migration sized on optimism. Ufanzo provides the assessment and planning that precede those decisions — documenting what you have, what it costs, what the realistic options are, and what each one requires. The deliverable is a decision you can defend, not a deck.

Problems addressed

Signs this is the work you need.

If several of these describe your situation, there is usually a structural cause worth addressing rather than a series of coincidences.

  • A significant technology decision pending with no clear basis for making it
  • Competing internal recommendations and no way to adjudicate between them
  • Systems everyone agrees are a problem, with no agreement on priority
  • Vendor proposals that are hard to compare on anything but price
  • A modernisation effort that keeps being deferred because its scope is unclear
  • Technology investment that has not visibly improved the business

What Ufanzo does

Technology Consulting, in practice.

Technology assessment

Document the current state honestly — architecture, dependencies, operating cost, risk concentrations, and the constraints that actually limit what can change.

Architecture and modernisation planning

Identify which components genuinely constrain the business and sequence the work so each stage delivers value independently, rather than planning a multi-year programme that pays off only at the end.

Cloud and data strategy

Decide what belongs in the cloud, what the data foundation needs to look like, and in what order — informed by the same practitioners who do the implementation work.

Automation opportunity assessment

Survey where automation would pay for itself, quantified against the effort and the operational burden it introduces, and ranked accordingly.

Build, buy and vendor evaluation

Compare options on total cost, fit, switching cost and the risk of depending on a vendor, with the assumptions written down so the comparison can be challenged.

Implementation planning

Turn a decision into a sequenced plan: dependencies, checkpoints, rollback points, what could go wrong, and how each stage will be verified.

What is inside

The disciplines this covers.

Technology Consulting is not one activity. These are the sub-practices it breaks into, and an engagement usually draws on several rather than all of them.

  1. Current-state assessment

    Documenting what exists - architecture, dependencies, operating cost, risk concentrations - from the code and the billing data rather than from a diagram. What a system is believed to do and what it does are frequently different, and the gap is where the risk lives.

  2. Architecture review

    An independent read of an existing design against reliability, security, cost and maintainability, with findings prioritised by risk and effort rather than listed exhaustively.

  3. Modernisation roadmap

    Identifying which components genuinely constrain the business and sequencing the work so each stage delivers value on its own, instead of a multi-year programme that only pays off at the end.

  4. Build, buy and vendor evaluation

    Comparing options on total cost, fit, switching cost and vendor risk, with the assumptions written down so the comparison can be challenged later when circumstances change.

  5. Cloud and data strategy

    Deciding what belongs where, what the data foundation needs to look like, and in what order - informed by the practitioners who would have to operate the result.

  6. Implementation planning

    Turning a decision into a sequenced plan with dependencies, checkpoints, rollback points, and how each stage will be verified. Output that cannot be acted on incrementally usually will not be acted on at all.

Business benefits

What changes for the business.

Stated as directions rather than figures. The size of the change depends on your starting point, and anyone quoting a percentage before looking at your environment is quoting a sales number.

  • A documented, shared understanding of the current state
  • Technology priorities ranked by business impact rather than by volume of complaint
  • Decisions made with the trade-offs explicit and recorded
  • Vendor options compared on a consistent basis
  • A sequenced plan with independent stages
  • Less technology spend on work that does not move the business

Where it fits

Typical engagements.

Independent architecture review

An outside assessment of an existing system against reliability, security, cost and maintainability, with findings prioritised by risk and effort.

Modernisation roadmap

A staged plan for systems that have become a constraint, ordered so that each stage delivers value on its own rather than only at completion.

Build-versus-buy decision

A structured comparison of building, buying and adapting, including the costs that usually get left out of the estimate.

Technology due diligence

An assessment of a system's real condition, operating cost and risk profile ahead of a significant commitment.

How it works

How an engagement runs

For readers evaluating whether this is done properly.

An engagement starts with evidence rather than opinion: reading the code and configuration, looking at the actual cost and usage data, and talking to the people who operate the system daily. What a system is supposed to do and what it does are frequently different, and the gap is usually where the risk lives.

Findings are written down with their reasoning and their uncertainty. A recommendation that omits what it assumed cannot be re-evaluated when circumstances change, and circumstances always change. Where the evidence does not support a confident answer, that is stated rather than smoothed over — an honest 'this needs a two-week spike to know' is more useful than a confident guess.

Recommendations are sequenced so that the first stage is small, independently valuable and reversible. That structure lets the business validate the direction before committing further, and it means a change in priorities does not strand half-finished work. Consulting output that cannot be acted on incrementally is usually output that will not be acted on at all.

Related work

These areas overlap in practice, and work in one often depends on work in another.

Consulting is usually the first engagement and the one that decides which of the others are worth doing. An assessment regularly concludes that the data foundation has to come before the analytics anyone asked for, or that the cost problem is architectural rather than a purchasing decision. The same people who write the recommendation do the implementation, which tends to keep proposals honest.

Let's talk

What technology decision is currently stuck?

Tell us the decision and what is making it difficult. We will be clear about what we would need to look at and what you would get.

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