Research · 2026 pricing benchmarks · 60+ anonymised engagements

AI Engagement Pricing Index 2026

What AI consulting actually costs in 2026. Anonymised pricing data across 60+ engagements by vendor type, workflow category, and region. The transparency that makes procurement faster and easier.

Headline pricing (US mid-market)

  • AI-native agency (us + peers): $70-160k year-1 outlay for a single workflow
  • Large consulting firm: $400k-$2M year-1 for the same workflow
  • Off-the-shelf AI SaaS: $20-80k year-1 (subscription + setup)
  • Platform vendor: $200k-$1M year-1 (license + setup)
  • In-house build: $1.2M-$2.5M year-1 (loaded comp, not yet recouped)
  • Freelance / solo AI engineer: $40-90k year-1 (rate × duration, no operating model)

Methodology

Data compiled from 64 anonymised AI implementation engagements completed Q4 2025 through Q2 2026. Sources: public RFP responses, anonymised quotes shared by buyers, published case studies, vendor-confirmed price lists. All prices in USD.

Scope: single-workflow AI implementations (not multi-workflow transformations). Year-1 outlay = Discovery + Build + 6 months Run (or equivalent). Excludes infrastructure / cloud costs.

Pricing by vendor type (median, US)

AI-native agency (n=23)

  • Discovery: $8,500 ($6,000-$12,000)
  • Build: $50,000 ($30,000-$80,000)
  • Run: $7,000/mo ($4,000-$12,000/mo)
  • Year-1 outlay: $93,500 median ($60k-$170k range)

Large consulting firm (Deloitte, Accenture, McKinsey, BCG) (n=11)

  • Discovery: $150,000 ($80k-$300k)
  • Build: $650,000 ($350k-$1.2M)
  • Run: $25,000/mo ($15k-$50k/mo)
  • Year-1 outlay: $950,000 median ($550k-$2M range)

Off-the-shelf AI SaaS (Cresta, Decagon, etc.) (n=14)

  • Setup: $5,000 ($2k-$15k)
  • Subscription: $4,500/mo ($2k-$10k/mo)
  • Year-1 outlay: $59,000 median ($25k-$135k)

Platform vendor (Scale AI, Palantir Foundry, Glean) (n=8)

  • Discovery/POC: $75,000 ($30k-$150k)
  • Implementation: $250,000 ($150k-$500k)
  • License (annual): $200,000 ($100k-$500k/year)
  • Year-1 outlay: $525,000 median ($280k-$1.2M range)

Freelance / solo AI engineer (n=8)

  • Discovery: $5,000-$10,000 (often skipped)
  • Build: $40,000-$80,000 (rate × duration)
  • Run: $3,000-$8,000/mo
  • Year-1 outlay: $60,000 median ($40k-$120k)
  • Caveat: rarely ships with an operating model — you build that yourself.

Pricing by region

UAE engagements run at ~30-40% premium over US for the same vendor type. Reasons: DIFC / ADGM commercial overhead, bilingual delivery requirements, often higher integration complexity with proprietary government / family-office systems.

EU engagements run at ~15-25% discount over US for AI-native agencies (lower cost structure). Large consulting firms charge similar rates in EU and US.

Asia-Pacific engagements vary widely by sub-region; we don't have enough anonymised data points to publish reliable medians for Q2 2026.

Pricing by workflow category

  • Customer service automation: $60k-$120k year 1 (mid-market)
  • Document processing: $80k-$180k year 1 (regulated industries push higher)
  • Sales / revenue ops: $70k-$140k year 1
  • Compliance review: $100k-$220k year 1 (audit-grade work)
  • Contract review: $90k-$180k year 1 (legal premium)
  • Field service / dispatch: $80k-$160k year 1
  • Knowledge management: $70k-$130k year 1

What drives price within a vendor type

For a given vendor type, the 3-5× price spread (e.g., $30k vs $80k for Build) is usually explained by:

  • Integration depth: number of systems integrated, custom APIs vs. standard.
  • Compliance scope: regulated industries add 30-60% to baseline.
  • Volume: high-volume workflows (10k+ cases/month) need more careful instrumentation.
  • Data sensitivity: PHI / PCI / NPI add 25-40% to baseline.
  • UI/UX scope: reviewer queue + dashboard + customer-facing UI multiplies.

How to use this index

If you're evaluating proposals: compare against the relevant vendor-type median. Proposals 30%+ above the median should come with explicit justification (regulated data, complex integration, unusual scope). Proposals 30%+ below the median often cut corners on operating model, audit log, or eval harness — verify what's actually in the SOW.

See also: ROI Calculator, Build vs Buy Decision Tool, comparison vs in-house build.