GenAI-Specific Offerings
The hottest segment: LLM implementation, agents, copilots, governance, and tech stacks
1. LLM Implementation (RAG, Fine-Tuning, Prompt Engineering)
The market has matured from demos to audited production workflows. The dominant approach is now hybrid:
- Prompt Engineering — Fastest, cheapest entry point. Start here.
- RAG — Next step for knowledge-heavy tasks (docs QA, support, policy). Adds reliability by grounding responses.
- Fine-Tuning — PEFT methods (LoRA/QLoRA). Reserved for specialized high-certainty tasks. Most demanding.
Regulated industries benefit most from RAG + fine-tuning combinations.
2. Agentic AI Consulting
BCG estimates agentic AI is a $200 billion opportunity for tech service providers.
$7.63B
Agentic AI market (2025)
$52.6B
Projected (2030) — 46.3% CAGR
40%+
Large enterprises scaling beyond pilots
16%
Deployments qualifying as "true agents"
Key developments:
- By mid-2026, ~40% of enterprise apps will ship with some form of agent
- Banking/financial services are the clear frontrunners
- Deloitte's Zora AI aims to reduce finance team costs by 25%
- EY deployed 150 AI tax agents for compliance
- Only 16% of enterprise and 27% of startup deployments qualify as true agents — most are fixed-sequence workflows
3. Copilot / Assistant Building
Dominated by the Microsoft Copilot ecosystem. Microsoft's 2026 vision: Copilot evolving from assistant to AI coworker (autonomous agent that orchestrates across apps).
- IBM Consulting Advantage + Copilot: 250,000+ hours saved annually
- Copilot Studio: Custom agent development, voice-first interactions (2026)
- Services cover: strategy, implementation, training, optimization, custom agent development
4. AI Governance & Responsible AI
Nearly 70% of firms use AI in compliance, yet only half have formal governance frameworks.
Moved from nice-to-have to compliance-critical, driven by EU AI Act and ISO/IEC 42001:
- EY: Best known for AI governance, compliance, and strategy
- IBM Consulting: Organizational governance + automated platforms
- Accenture: "Advancing Responsible AI Innovation" playbook
- Credo AI: #6 Applied AI on Fast Company's Most Innovative 2026
5. AI Strategy (Build vs. Buy)
Buy/partner succeeds ~67% of the time. Internal builds succeed only one-third as often.
(MIT NANDA initiative, "The GenAI Divide" 2025)
(MIT NANDA initiative, "The GenAI Divide" 2025)
- Shift from strategy decks to end-to-end implementation
- Outcome-based pricing replacing billable hours
- Domain specialization commands 30-40% fee premiums
- Hybrid consulting teams (human + AI) deliver projects 35% faster
6. AI Transformation & Change Management
BCG published "AI Transformation Is a Workforce Transformation" (2026): companies realizing the most AI value have the most ambitious upskilling programs.
- Senior change management consultants: $200-$450/hour
- Common frameworks: Prosci ADKAR, Deloitte Transformation Intelligence, Accenture Change Capability Quotient
- 90% of AI usage failures trace to change management gaps, not technical issues
7. Document Processing & Knowledge Management
AI-driven KM market grew from $5.23B (2024) to $7.71B (2025) — 47.2% CAGR.
- 80% of enterprises will deploy generative AI by 2026
- GenAI extends IDP to handle contracts, medical reports, multi-page financial statements
- 70% of organizations will use AI-powered KM by end of 2025
8. AI Security & Red-Teaming
Rapidly emerging specialty:
| Provider | Specialty |
|---|---|
| Bishop Fox | Modular red teaming for AI attack surfaces |
| CrowdStrike | Threat-intelligence-informed AI red teaming |
| Mindgard | Automated AI red teaming, continuous testing |
| Shaip | Human-led LLM red teaming (multidisciplinary teams) |
| Intertek | Aligned to ISO/IEC 42001 and EU AI Act |
9. Common Tech Stacks (2026)
AI Agent Frameworks
| Framework | GitHub Stars | Strength |
|---|---|---|
| LangChain / LangGraph | 97,000+ | Complex orchestration, largest ecosystem, 50K+ production apps |
| CrewAI | 45,900+ | Role-based multi-agent collaboration, fastest-growing |
| Microsoft Agent Framework | — | Enterprise conversational agents (AutoGen successor) |
| LlamaIndex | — | Data retrieval and indexing excellence |
Production GenAI Stack
| Layer | Tools |
|---|---|
| Models | OpenAI GPT-4o, Claude, Gemini, Llama, Mistral. Trend: fleets of smaller, specialized models. |
| Orchestration | LangChain, LlamaIndex, CrewAI, Semantic Kernel |
| Vector DBs | Pinecone, Weaviate, Chroma, pgvector |
| Data Infra | Databricks, Snowflake, MongoDB (incumbents hold 56% share) |
| Observability | Datadog, LangSmith, Weights & Biases |
| Governance | Credo AI, custom frameworks (ISO/IEC 42001) |
10. Project Timelines & Costs
| Project Type | Cost Range | Timeline |
|---|---|---|
| Small pilot / POC | $20K-$60K | 2-4 weeks |
| Standalone AI feature / chatbot | $40K-$150K | 4-8 weeks |
| Mid-size GenAI application | $60K-$250K | 2-4 months |
| Production GenAI application | $100K-$500K | 3-6 months |
| Enterprise-wide AI program | $400K-$1M+ | 6-18 months |
Real-World Timeline Examples
- Bookshop.org AI recommendation engine: 6-9 months
- AXA generative AI platform: 9-12 months
- Coca-Cola AI-powered marketing: 12-18 months
Hidden costs for SMEs: 60% of total 5-year costs ($200K-$500K) come from maintenance, training, and scaling — not initial development.
Key Takeaways
- Agentic AI defines 2026 — $200B opportunity, 40%+ enterprises scaling
- Buy beats build 2:1 — API-first integration is the default
- Governance is mandatory — EU AI Act and ISO 42001
- Domain specialization = premium fees (30-40% more)
- Tech stack has consolidated around LangChain, CrewAI, Microsoft Agent Framework
- Change management is the hidden critical factor