Big consultancy or specialist AI firm.

Most New Zealand organisations choosing an AI partner end up comparing a large firm with a specialist. The answer turns on how you buy, how big the change is, and who will run the system once it is built.

Comparison7 min readUpdated 19 October 2026

Short answer

Choose a big consultancy, such as a Big Four firm, Accenture or Datacom, when AI is one part of a large change programme, you buy through a government panel, or you need many teams at once. Choose a specialist AI firm when you need one working system soon, built by the people who designed it, with a clean handover. Levy Street is a specialist, so test this reasoning yourself.

  • Deloitte, PwC, KPMG, EY, Accenture and Datacom appear on the AoG consultancy services provider list.
  • Panel buying avoids a full GETS tender; the next panel tender is expected in early 2027.
  • Your auditor may be barred from building or running AI that touches financial reporting.
  • Compare three-year cost: build, handover, running and model changes, not day rates alone.
  • Levy Street is a specialist AI studio, so it has a side in this question.

Levy Street is a specialist AI studio, so we have a side in this question. This page still sets out when a large firm is the better choice, using only what each firm’s New Zealand pages say, as listed on 20 October 2026.

How big consultancies and specialist AI firms differ

A big consultancy sells breadth: strategy, risk, change management and technology from one firm, at scale. A specialist AI firm sells depth in one thing: designing, building and running AI systems with a small team.

Factor Big consultancy (Big Four, Accenture, Datacom) Specialist AI firm
Scale Many teams across cities at once One or a few small teams
Scope AI inside a wider transformation, risk or audit relationship One workflow or product at a time
Government buying Six large firms are on the AoG consultancy panel Varies; ask which panel or Marketplace catalogue applies
Change management Often a service line of its own Usually limited to the teams using the system
Who does the build Varies by engagement; ask for named builders Often the same people who scoped it
Speed to a first system Depends on programme governance Often weeks for a narrow system
Model choice Often delivered on alliance platforms; Deloitte’s Tower work used AWS Varies; ask whether models are tested side by side
Independence limits Big Four firms face rules on building for their audit clients No audit relationship to manage

What New Zealand’s large firms say they offer

How government panels change the answer

For agencies, procurement often decides before capability does. The All-of-Government consultancy services contract, led by MBIE, has run since 6 November 2015 with no set end date. A keyword search of its provider list on 20 October 2026 returned Deloitte, PwC Consulting, KPMG, Ernst & Young Limited, Accenture NZ Limited and Datacom Systems Limited among 927 providers. A search for “artificial intelligence” returned five.

Joined agencies can choose a provider directly without advertising on GETS. Providers sit in three tiers: Tier 1 firms are medium to large with at least $500,000 of professional indemnity cover, and Tier 3 firms are small to medium, with no insurance minimum and no admin fee. The last refresh closed on 30 June 2021, and the next tender is expected in the first part of 2027. None of the panel’s 11 categories is AI.

The government Marketplace is the other route. It is open to any business meeting a channel’s entry criteria, and its consultancy channel includes ICT professional services and data and information services. Firms outside the big six use it too: Catalyst, an open-source company with an AI practice, says it is a tier 2 Marketplace supplier for managed services and consulting. Ask every shortlisted firm, Levy Street included, which panel or catalogue it can be bought through.

When your auditor cannot build it

If your auditor also sells consulting, as the Big Four do, check independence rules before asking it to build. New Zealand’s PES 1 treats operating, maintaining or monitoring an audit client’s IT systems as a management responsibility the firm cannot take on. For public interest entities, an audit firm must not provide IT systems services that might create a self-review threat, such as systems that affect accounting records or financial reporting controls. An AI agent that codes supplier invoices into your ledger is the kind of system in scope. Ask your auditor early; this is general information, not advice.

How to test both on the same brief

Pitches favour whoever presents best. Pay one large firm and one specialist for a small, identical piece of work instead.

  1. Write one brief. One workflow, its volume and the number to move. Illustrative example: triaging 500 public emails a week to the right team, measured by time to first response.
  2. Ask for the same deliverable. A test on 50 of your own emails with personal details removed, a monthly running cost in NZD, and the names of the people who would build it.
  3. Score evidence, not slides. Compare test results, stated assumptions, whether privacy and data location came up unprompted, and who did the work.

What each costs over three years

Neither model is cheaper by definition. AoG rates are commercially sensitive, and Levy Street does not publish rates, so use your own quotes.

Cost line What to ask for What drives it
Discovery Days by job level, named people Workshops, stakeholders, data access
Build Days, and who does them Integrations, approvals, test set size
Handover Runbook, test set, training hours Whether your team will run it
Running Monthly model, hosting and support cost Volume, model choice, support hours
Change Model migrations and re-testing Vendor model retirements, scope growth

Break-even rule for build quotes: the shorter quote is cheaper unless its day rate is higher by more than the ratio of the two day counts. Illustrative example: if quote A needs 60 days and quote B needs 40 for the same scope, B is cheaper unless its day rate is more than 1.5 times A’s (60 ÷ 40).

Running costs compound. Illustrative example: a support retainer equal to 2% of the build price per month adds 72% of the build price over 36 months. Ask for running costs in NZD per month before you compare build quotes.

Which should you choose?

Choose a big consultancy if

  • AI is one part of a larger transformation with restructuring, process redesign and several business units.
  • You are an agency buying through the AoG panel and the firm covers the right category.
  • You need risk, governance and change management delivered alongside the build by one firm.
  • You need many people in several cities at once.

Choose a specialist AI firm if

  • You need one working system soon, measured against an operating number.
  • You want to meet the engineers who will build it before you sign.
  • You want models from several labs tested side by side on your data.
  • Your auditor is a Big Four firm that cannot build or run it.

Many organisations use both: a large firm for strategy, risk and change, a specialist for the build. Our AI consulting and custom AI development pages describe what Levy Street does.

Where both go wrong

  • The team changes after the pitch. Ask for named people and the share of days at each of the AoG’s five job levels, or the firm’s equivalent.
  • Strategy without a system. A roadmap is a means. Set a date for the first system in production.
  • Key-person risk. A specialist with two engineers needs documented cover and an exit plan. Our AI procurement questions cover support and exit terms.
  • Platform lock-in. Proprietary accelerators and alliance platforms can be hard to leave. Get the code and prompts in accounts you own.
  • No owner inside. Neither works without an internal owner; see AI agency vs internal hire.

For a shortlist of New Zealand firms, see our guide to AI consultants in New Zealand, or book an AI assessment.

Sources

  1. Artificial Intelligence & Data, Deloitte New Zealand, accessed 20 October 2026
  2. Transforming the contact centre experience with AI, Deloitte New Zealand, accessed 20 October 2026
  3. Artificial Intelligence (AI) Services, PwC New Zealand, accessed 20 October 2026
  4. KPMG Trusted AI, KPMG New Zealand, accessed 20 October 2026
  5. AI insights, EY New Zealand, accessed 20 October 2026
  6. AI and data, Accenture, accessed 20 October 2026
  7. Accenture in New Zealand, Accenture, accessed 20 October 2026
  8. Artificial intelligence (AI) solutions, Datacom, accessed 20 October 2026
  9. Data and AI solutions for large business and government, Spark (Qrious), accessed 20 October 2026
  10. Consultancy services, New Zealand Government Procurement, accessed 20 October 2026
  11. Consultancy services providers, New Zealand Government Procurement, searched 20 October 2026
  12. Using the consultancy services contract, New Zealand Government Procurement, accessed 20 October 2026
  13. About Marketplace, Pae Hokohoko Marketplace, accessed 20 October 2026
  14. Consultancy and Professional Services, Pae Hokohoko Marketplace, page updated 8 March 2022
  15. Catalyst IT home page, Catalyst IT, accessed 20 October 2026
  16. PES 1 International Code of Ethics for Assurance Practitioners, External Reporting Board (XRB), compiled November 2025

Written by the Levy Street team in Wellington. Last updated 19 October 2026.

Questions people ask

Which big consulting firms offer AI services in New Zealand?

As listed on 20 October 2026, Deloitte New Zealand offers AI strategy, data modernisation and intelligent automation; PwC New Zealand has a Chief AI Officer and an AI Transformation Leader; KPMG New Zealand runs KPMG Trusted AI and Copilot readiness work; EY’s New Zealand AI page leads with EY.ai; Datacom has AI consultants across Australia and New Zealand; and Spark offers data and AI services through Qrious. Accenture serves New Zealand from its global AI and data practice.

Are the Big Four on the New Zealand government’s consultancy panel?

Yes. A search of the All-of-Government consultancy services provider list on 20 October 2026 returned Deloitte, PwC Consulting, KPMG and Ernst & Young Limited, along with Accenture NZ Limited and Datacom Systems Limited, among 927 providers. Agencies that have joined the contract can choose a provider directly or run a secondary selection without advertising on GETS. New Zealand Government Procurement expects to tender the next version of the panel in the first part of 2027.

Can our auditor build our AI system?

Possibly not. New Zealand’s auditor independence standard, PES 1, says an audit firm must not operate, maintain or monitor an audit client’s IT systems, and must not provide IT systems services to a public interest entity it audits where that could create a self-review threat. An AI system that touches accounting records or financial reporting can fall in scope. Ask your auditor early and take professional advice.

Is a specialist AI firm cheaper than a Big Four firm?

Not by definition. Total cost depends on days, the mix of senior and junior people, and what it costs to run and change the system afterwards. A useful rule: if one quote needs 60 days and another 40 for the same scope, the shorter quote is cheaper unless its day rate is more than 1.5 times the other. Add three years of running costs before deciding.

Can a small AI firm sell to New Zealand government agencies?

Yes. The government Marketplace is open to any business that meets a channel’s entry criteria, applications run online at any time, and its consultancy channel includes ICT professional services and data and information services catalogues. Small firms also sit in Tier 3 of the AoG consultancy panel, though that panel’s last refresh closed in 2021. Agencies can also run their own procurement.

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