Skip to content
Welzin

An honest comparison

Welzin vs Deloitte, PwC, EY & KPMG

Advice and delivery are not the same purchase.

Big 4 firms do serious AI and data work, and for a whole class of problem they are the right call. The narrower question is what you want to exist on the day the engagement closes.

Different trades, not different tiers.

Deloitte / PwC / EY / KPMG

Advisory, anchored in assurance.

Strategy, risk and technology advisory, usually entered through an existing audit, tax or assurance relationship. Deep governance, controls and change-management capability, with implementation typically delivered on top of a platform vendor's product and staffed from a consulting pyramid.

Welzin

Engineering, accountable to one number.

One senior pod owns the path from first model to monitored production system. Scoped to a single business metric, priced against that outcome and its milestones rather than open-ended hours. The system, its evaluation harness and its documentation are handed over for your own team to run.

The useful question is not which firm is more capable. It is what exists on the last day. A recommendation your team then has to build, or a system already running against the number it was scoped to move.
Time to production

8 weeks

Typical engagement, first scoping call to handover.

One senior pod, scoped to a single metric and priced against it, ending in a running system with its evaluation harness and the documentation your team needs to own it.

Deloitte / PwC / EY / KPMGMulti-quarter programme
Welzin8 weeks

There is no figure opposite ours. Programme lengths vary far too much to state as fact, and inventing one would fail the same test that kept every other statistic off this page.

The differences that matter in practice.

Core model
Deloitte / PwC / EY / KPMGAdvisory first: strategy, risk, controls, then implementation.
WelzinEngineering first: the deliverable is a running system.
Entry point
Deloitte / PwC / EY / KPMGFrequently an existing audit, tax or assurance relationship.
WelzinThe problem itself, and the metric attached to it.
Who implements
Deloitte / PwC / EY / KPMGOften a separate engagement, or a platform vendor's integrator.
WelzinThe pod that scoped it. There is no second contract.
Governance depth
Deloitte / PwC / EY / KPMGExtensive. Controls, regulatory posture and board-level assurance.
WelzinEvaluation, guardrails and monitoring for the system we build. Not a controls practice.
Commercial model
Deloitte / PwC / EY / KPMGTypically phased consulting fees.
WelzinPriced against a single outcome and its milestones.
Choose Deloitte / PwC / EY / KPMG for

Governance, assurance and board-level credibility.

  • Regulatory and controls depth.

    If your AI work has to survive audit, regulatory scrutiny or a board risk committee, this is genuinely their home ground and not ours.

  • Change management at organisational scale.

    Getting thousands of people to work differently is a real discipline. A Big 4 firm has it; an engineering pod does not.

  • Institutional credibility.

    A Big 4 name on the recommendation carries weight in rooms where an unfamiliar supplier does not. That is worth something real.

What you give up

  • The deliverable is often a document.

    Worth pinning down early whether the engagement ends in a recommendation or in working software, and who builds it if not them.

  • The pitch team is not the delivery team.

    Leverage is the model: a partner wins the work, and the week-to-week is staffed below them. Worth getting the named people and their actual allocation in writing before signing, rather than discovering it at kickoff.

  • Implementation is usually someone else's product.

    Much of what gets built is configuration of a platform vendor's software. That may be right for you, but it is a different purchase from custom systems.

Choose Welzin for

An engineering deliverable, owned end to end.

  • No gap between the advice and the build.

    The engineers who scope the problem are the ones who build and operate the system. There is no second contract with an implementation partner, and no point where the thinking is handed to people who were not in the room for it.

  • You own a system, not a configuration.

    The code, the evaluation harness and the documentation are yours at handover. Not a licensed platform tuned to your process, and not something that needs the original vendor back in the room to change.

  • One number, and we are accountable to it.

    Each engagement is scoped to a single business metric it exists to move, with milestones tied to that metric rather than to phases on a calendar.

What you give up

  • Not an assurance or controls practice.

    We build evaluation and monitoring into the systems we ship, but we are not a substitute for audit, regulatory advisory or a risk function.

  • No organisational change management.

    If the hard part of your problem is getting a large organisation to adopt something, that is a different capability from the one we sell.

  • No boardroom brand.

    We do not carry the institutional weight a Big 4 logo does. In some rooms that matters, and pretending otherwise would be dishonest.

Evidence

The diagnosis was never the hard part.

A national retailer already knew its forecasting was costing it twice, in stockouts on the fast movers and working capital buried in the slow ones. What it did not have was a forecast wired into replenishment, backtested before it shipped and monitored once it was live. That is the whole distance between a finding and a system.

Data Science - Forecasting

Demand forecasting wired straight into replenishment

31%Fewer stockouts

Read the case study

Tell us what you are weighing.

A direct conversation about the problem, the metric, and whether we are the right shape for it. If another option on this page fits you better, we will say so.