AI Strategy & Roadmapping · Cornerstone
What AU buyers actually pay for AI consulting in 2026 — who's pricing what, where the bands are moving, and how to read a proposal.
Quantum Associates — Quantum Associates
· 12 min read
AI consulting pricing in Australia is famously opaque. Most firms — including us, until recently — refuse to publish prices on their websites. Buyers fill in the gap with rumours, the one quote they got from a Big 4, and an assumption that the real number is whatever fits the budget. The result is mismatched conversations, padded proposals, and engagements that start with the buyer feeling like they’ve already been gamed.
This piece names the actual price bands across the AU market in 2026. It covers what the Big 4 charge, what mid-tier consultancies charge, what boutique specialists charge, and what we charge (we publish our productised offers at the band level, which is rare in the segment). It also explains why the bands differ, which matters more than the numbers themselves.
A note on caveats: every band below is an honest summary of what we observe in the market across recent engagements + competitive intelligence from buyers we’ve worked with after they ran a competitive process. Specific engagements can fall outside the bands for good reasons. The bands are decision-making heuristics, not contractual promises.
Australian AI consulting in 2026 segments into five tiers by price. Each tier serves a different buyer well, and each is genuinely the right answer for some engagements.
| Tier | Daily rate (AUD) | Typical engagement size | When to choose |
|---|---|---|---|
| Big 4 + Accenture | $3,500–$6,000 / day | $500K–$5M+ | Board-level political cover + cross-functional change at large enterprise scale |
| Mid-tier global (e.g. Cognizant, Capgemini, Infosys) | $2,200–$3,800 / day | $250K–$2M | Large structured programs where AU presence + global delivery matter |
| Australian mid-size specialists (e.g. Mantel Group, Arinco, Tecala) | $1,800–$3,000 / day | $100K–$1M | AU-led engagement depth with productised offerings + visible local team |
| Boutique specialists (e.g. Quantum Associates) | $2,000–$3,500 / day | $15K–$250K | Senior-practitioner-led engagement at productised price points; no juniors |
| Solo + early-stage AU AI consultants | $1,200–$2,200 / day | $5K–$80K | Single-practitioner depth; faster, scrappier, lower governance overhead |
Daily rates within a tier vary by practitioner seniority (partner vs senior vs mid-level), engagement type (advisory vs build vs ongoing retainer), and competitive dynamics on the specific deal.
Big 4 AI engagements price for the political layer they uniquely provide, not for the engineering work. A typical AI strategy engagement from Deloitte, KPMG, PwC, EY or Accenture runs $500K–$2M for the strategy phase alone; a build typically adds $1–5M depending on scope.
What you’re actually paying for: board-level political cover (when the recommendation comes from a Big 4, it gets approved differently than when it comes from a boutique), cross-functional change management across thousands of employees, global delivery capacity if your business has offshore components, and the audit-firm relationship that some boards require their advisory choices to align with.
What you’re NOT primarily paying for: senior practitioners on every day of the engagement. Big 4 engagements run on the standard pyramid — Partner sells, Director scopes, Senior Manager runs, Manager + Associates do the work. For appropriate use cases this is fine; for engagements where the technical depth and the engagement direction need to live in the same head, the pyramid creates a disconnect.
We engage with Big 4-served clients in two patterns: (a) as a specialist sub-contractor where the Big 4 holds the prime relationship and we deliver a specific technical workstream; (b) as the alternative the buyer evaluates against the Big 4 proposal, with the trade-off being political cover vs senior-practitioner-led delivery.
Cognizant, Capgemini, Infosys, Tata Consultancy Services and similar mid-tier global firms occupy a middle position: meaningful AU presence, large-scale offshore delivery capability, structured methodologies, and pricing roughly 60–70% of Big 4 daily rates.
A typical engagement: $250K–$600K for a structured AI strategy + design phase, $500K–$2M for a build phase, with ongoing managed-service retainers in the $30K–$150K/month range.
Sweet spot: large structured programs where global delivery capacity matters (offshore data science teams, 24/7 operational support, multi-region rollouts). For pure-AU engagements without those needs, the mid-tier global pricing premium is harder to justify against the AU-only specialist tier.
Mantel Group (the largest AU-grown AI consultancy), Arinco (Microsoft-only specialist), Tecala (AI as part of a broader IT-services portfolio), and a handful of similar firms occupy this tier. AU-led, AU-staffed, with productised offerings becoming increasingly common.
Typical AI engagement bands:
Daily rates: $1,800–$3,000 depending on practitioner seniority. The reason this tier prices slightly above the boutique tier and slightly below mid-tier global is bench depth — these firms have 50–200 staff and can offer cross-functional teams, longer engagement timelines, and the operational maturity of an established consultancy.
What this tier delivers well: substantial multi-month engagements with visible AU team continuity. What it occasionally struggles with: senior-practitioner-led delivery at smaller engagement sizes (the bench economics favour pyramid staffing on small engagements).
This is the tier we sit in. Senior-practitioner-led firms with small headcount (typically 3–15 people), high practice depth, and engagement models that favour fixed-scope productised offers over time-and-materials. Daily rates $2,000–$3,500 — at the top of the AU specialist tier because every day is a senior practitioner, not a pyramid.
Typical engagement bands (these are our published prices):
For custom engagements outside the productised offers (multi-month builds, ongoing retainers, large-team rollouts), pricing is on a per-engagement basis and typically lands $80K–$250K depending on scope.
What this tier delivers well: depth on a specific problem with a single accountable senior partner from kickoff to handover. What it doesn’t deliver: large-scale change management across thousands of people, multi-region offshore delivery, or board political cover that requires a Big 4 logo.
The tier’s growth in 2026 is being driven by AU buyers who have run Big 4 / mid-tier engagements before and concluded that the engagement style — pyramid staffing, slide-heavy outputs, distance from production realities — doesn’t fit AI work where the technical depth and engagement direction need to be in the same head.
The bottom of the market: individual consultants and 1–3 person firms. Daily rates $1,200–$2,200, with the lower end being practitioners earlier in their career or those without a permanent practice infrastructure.
This tier serves specific use cases extremely well:
The trade-off: limited bench depth, single-point-of-failure risk if the practitioner is unavailable, less operational maturity than established firms. None of these are dealbreakers for the right engagement; they are real considerations for engagements where continuity matters.
Below is the rough cost-band view by engagement type, blended across tiers (excluding Big 4 which sits in its own band):
The bands compress at the bottom for productised offers (most boutiques start around $15K–$25K) and expand at the top for engagements that include extensive stakeholder workshops and change-management consulting.
The lower end is achievable with boutiques running productised offers; the upper end reflects multi-stakeholder pilots with extensive integration into existing enterprise systems.
These bands are the most variable in the market because “production AI implementation” can mean dramatically different scopes. The key questions that move the number: how many systems, how much integration with existing infrastructure, how much custom training data work, how much operational handover scope.
The lower end is the productised offer pattern; the upper end is multi-stakeholder programs that include policy drafting, training rollout, and board-level reporting design.
The economics of ongoing AI managed services are still maturing — most engagements include a mix of advisory days, build days, and on-call coverage that don’t fit neatly into traditional managed-services pricing models.
When you receive a $250K proposal for a 12-week AI strategy engagement, the underlying cost structure is roughly:
The ratios shift dramatically by tier. Boutiques run almost entirely on senior-practitioner time (with very little junior or mid-level capacity). Big 4 inverts — more junior + mid-level time, less senior partner time. The aggregate price ends up similar; the engagement experience differs enormously.
A useful diagnostic when reading a proposal: ask what percentage of the engagement hours will be delivered by people at director-level-and-above (or partner-level-and-above) seniority. The answer tells you what kind of engagement experience you’ll actually get.
Five questions to ask of any AI consulting proposal, regardless of tier:
Who specifically is doing the work? Not the firm — the named individuals. Ask for CVs of every person who will spend more than 10% of their time on the engagement.
What’s the senior-practitioner percentage? What fraction of total engagement hours come from people at director-level-and-above seniority.
What’s the success criterion? A measurable outcome the engagement will produce. “Deliver an AI strategy” is not a success criterion. “Reduce average claim-handling time from X to Y” is.
What’s the run cost forecast for the proposed system? Build cost is usually clear in the proposal; the ongoing run cost (foundation model API charges, infrastructure, ongoing evaluation work) is often missing. Ask for it explicitly.
What happens if we stop after the first phase? Engagement structures that bind you to a multi-phase commitment make it hard to course-correct. The healthiest engagements have explicit stop points at each phase boundary.
If a proposal can’t answer all five clearly, that’s information about the engagement style on offer — independent of the price.
We publish our productised offers with the price band on each page. The three current offers:
For custom engagements outside those offers — longer builds, multi-team rollouts, ongoing retainers — we work to scope. Typical engagement bands sit at $80K–$250K for the work itself; ongoing retainers at $8K–$25K/month depending on commitment level.
The reason we publish the bands: every senior buyer we’ve worked with has said the most useful thing in a website would be knowing whether the firm is even in the right ballpark before getting on a call. Publishing the bands costs us some engagements where we’d have been more expensive than expected; it earns us more engagements where the price is right and the buyer is now ready to talk about scope rather than budget.
If you want to talk through your specific engagement and whether we’re the right tier for it, the discovery call is 30 minutes, no agenda. If we’re not the right fit, we’ll tell you and recommend who might be — we have working relationships across the tiers and routinely refer engagements where the buyer’s needs are better matched by a Big 4, a mid-tier specialist, or another boutique.
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