The AI Consulting Market in Türkiye: What Changed From 2024 to 2026?
Two years ago the job title “AI consultant” barely existed. Today thousands of profiles carry it. That fast birth means both abundance and confusion for buyers. 📈
The AI consulting market arrived here in three waves: curiosity (tool demos), application (embedding into processes) and now maturity (measurement, governance, proof). Buyers matured at the same pace — they now ask for a scorecard, not a promise.
This article covers the three waves, the player types, how pricing behaviour changed and how buyers grew up. Useful for seeing where you stand today. 🗺️
Three Waves in the AI Consulting Market
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- The curiosity wave
- The application wave
- The maturity wave
- The waves overlap
Two years of history read in three waves. Each asked a different question. 🌊
The AI consulting market developed like this: wave one, curiosity — “what do these tools do?”, training and demo-heavy services; wave two, application — “where does this fit our work?”, process design took over; wave three, maturity — “what did it return, what’s the risk?”, measurement and governance became purchase conditions.
The curiosity wave
Presentations, tool demos, “ten prompts” workshops. Useful, but it produced no durable gains.
The application wave
Flows, checkpoints, team training. The profession’s current core formed here; scope in AI consulting services.
The maturity wave
Scorecards, data rules, contract clauses. Buyers now want evidence.
The waves overlap
Sellers from all three waves are in the market simultaneously; telling them apart is the buyer’s job. 🔍
Player Types in the AI Consulting Market
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- The trainer
- The tool reseller
- The software house
- The process consultant
Same title, very different services. Four player types appear. 👥
The types: the trainer (sells seminars and prompt workshops), the tool reseller (implements one specific software), the software house (development-focused) and the process consultant (diagnosis-flow-measurement). All four can be legitimate; the problem is that they use the same name.
The trainer
Valuable for team awareness; but can’t promise process transformation.
The tool reseller
Independence is the critical question — ask the revenue model; criteria in how to choose an AI consulting firm.
The software house
Strong on construction, weaker on direction; the split sits in agency vs software firm.
The process consultant
Starts with diagnosis, ends with a scorecard. The type buyers most want and find hardest to identify. 🧭
How Pricing Behaviour Changed in 2026
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- Package standardization
- Outcome-based lines
- Transparency
- The persistent problem
As the market matured, pricing found order. Three shifts. 💰
Three pricing changes landed: package standardization (diagnosis, setup and management became distinct), more outcome-based lines (hours-won targets) and normalized transparency (published bands). Today fee bands are written down in AI consulting fees — two years ago such an article was hard to write.
Package standardization
Buyers can finally compare proposals; the method sits in evaluating an AI consulting proposal.
Outcome-based lines
“This many hours on this process” now enters contracts, making measurement compulsory.
Transparency
Publishing bands is treated as a trust advantage rather than a competitive risk.
The persistent problem
Scope fog remains the market’s loudest complaint; identical prices can mean very different work. 🌫️
How Buyers Matured
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- Demanding diagnosis
- The scorecard question
- Contract awareness
- What’s next
The biggest change happened not on the seller side but the buyer side. Four behaviour shifts. 🧠
Buyers now: refuse pricing before diagnosis, ask for the scorecard format before signing, negotiate data and confidentiality clauses, and keep account ownership with the company. Two years ago these were exceptions; today they’re the minimum standard.
Demanding diagnosis
“Look first, price second” is now a common sentence.
The scorecard question
Measurement format became a purchase criterion; content in measuring AI consulting ROI.
Contract awareness
Data, IP and exit clauses get negotiated; the list sits in AI consulting contract.
What’s next
Maturity continues into governance and compliance; the near future sits in AI consulting toward 2027. 🔭
Field Notes 📝
Two years ago the most common first-meeting question was “what does this tool do?” Today it’s “how will we measure this?” The change in the buyer’s question is the clearest sign the market matured — and it’s what pulls sellers into line too.
Quick Glossary 📖
Curiosity wave: the tool-demo period. Scope fog: unclear scope in proposals. Outcome-based line: a contract clause tied to a target. Account ownership: who holds subscriptions and platform accounts.
Quick Summary ⚡
- The AI consulting market arrived in three waves: curiosity, application, maturity.
- Four player types share one title: trainer, tool reseller, software house, process consultant.
- Pricing gained package standardization, outcome-based lines and band transparency; scope fog persists.
- The real maturity is on the buyer side: no pricing before diagnosis, scorecards and contract clauses negotiated.
Next Step 🎯
Let’s see which wave you’re in: a maturity assessment with a package recommendation to match. Visit our AI consulting page or get in touch.
Frequently Asked Questions
External source: AI management system standard at ISO/IEC 42001.
Sık Sorulan Sorular
In three waves: a curiosity wave of tool demos and training, an application wave where process design took over, and a maturity wave where measurement and governance became purchase conditions — sellers from all three remain active.
Four player types share it: the trainer selling seminars and prompt workshops, the tool reseller implementing one software, the development-focused software house, and the process consultant doing diagnosis, flows and measurement.
Four behaviours: refusing pricing before diagnosis, asking for the scorecard format before signing, negotiating data-confidentiality and exit clauses, and keeping all accounts in the company’s name.