Why consulting needs to go agentic

Over the coming pieces, we move from why consulting needs to go agentic to how firms can practically make the shift: identifying high-value agentic opportunities, designing governed workflows, building the first agentic solution safely and strategically, and ultimately scaling a sustainable agentic operating model.

The strategic wake-up call for modern advisory firms

For decades, consulting and advisory firms relied on a simple equation: human expertise + trusted process = client value. That formula built empires of insight, but it's breaking down.

Autonomous agentic AI systems can now analyse data, generate recommendations and even coach employees with exceptional contextual accuracy. In short, they are beginning to operate like consultants, only faster, cheaper and at scale. Every week, AI-native firms win contracts by deploying contextualised agents that perform analyses and give advice. They don't hire large analyst teams; they use technology to achieve similar results at a fraction of the cost. The traditional market faces a choice: innovate, or get left behind.

My own career began at a small Dutch IT consultancy. Brilliant colleagues built their expertise through years of projects. Those minds remain invaluable, but information synthesis now happens at a vastly faster rate. That experience fuels one question that will define our industry:

How can human-capital-driven firms transform when expertise itself becomes automated?

01 · Market threats: when AI agents become your competitors

Agentic AI describes networks of intelligent agents that plan, act and learn towards defined objectives. They perform actions traditionally done by (junior) consultants, information gathering and analysis, but continuously and at a fraction of the cost. Two recent reports show how fast adoption is rising:

• KPMG (2025) found 42% of organisations have already deployed AI agents (up from 11% two quarters earlier) with a further 37% piloting them.
• MarketsandMarkets (2025) projects the agentic AI market to grow from $7B in 2025 to $93B by 2032 (CAGR 44.6%).

The critical point: this isn't mere automation. It's substitution of work humans once did. Budgets that fund AI-driven advice will no longer go to traditional consulting services.

Why customers are moving

Enterprise clients increasingly expect more than a static report. They demand continuous, adaptive insight based on real-time data, advantage 24/7. KPMG reports 51% of organisations are exploring AI agents and 37% are piloting them; Deloitte predicts 25% of companies using generative AI will launch agentic pilots this year, rising to 50% by 2027. Buying patterns are shifting from projects to platforms.

Q: How are agentic AI systems changing client expectations?
A: They deliver continuous, data-driven guidance instead of static deliverables.

Mini case: the sales-training disruption

A mid-sized sales-training firm was renowned for its proprietary methodology, classroom-based programmes, until AI chatbots and coaching agents emerged. Clients began adopting agents for continuous coaching, performance analysis and real-time best-practice frameworks, replicating playbooks, simulating meetings and offering on-demand feedback via affordable subscriptions. The firm realised it had to transform or face decline; it partnered with a sales-enablement platform to embed its methodology into a SaaS product, turning its IP into an adaptive digital offering.

The lesson: if you don't productise your IP, someone else's agent will.

02 · Why traditional IP delivery is under threat

Consulting firms long protected their advantage through proprietary frameworks and domain insight, IP that sat safely behind human delivery. Agentic AI breaks the seal. Multi-agent systems can ingest those frameworks, replicate their logic and apply them contextually at scale, faster, cheaper, fatigue-free.

"A new paradigm is emerging where humans and AI agents work side by side at scale, the agentic organization." McKinsey & Company, The Agentic Organization (2025)

The shift in client expectations

Shift 1: clients no longer buy hours; they subscribe to outcomes. Enterprise buyers now link AI-enabled delivery to automation, continuous insight and measurable value. Finance, healthcare and technology adopt fastest, setting expectations for everyone else.

Shift 2: AI is changing delivery models beyond recognition.

Traditional consulting

• Human analysts produce static reports.
• One-off projects → time-bound revenue.
• Expertise stored in documents.
• Output measured by hours.

The agentic consulting model

• AI-driven platforms deliver continuous, adaptive insight.
• Subscriptions → recurring, scalable revenue.
• Expertise embedded in evolving AI frameworks.
• Value measured by outcomes.

Analyst forecasts underline the shift: McKinsey (2025): 23% of organisations scaling agentic AI, 39% experimenting; California Management Review (2025): market to reach $103B by 2034; BCG (2025): agentic leaders achieve 30–50% faster cycles and higher ROI. Together, these describe an unstoppable trajectory: consulting is moving towards delivery models that rely less on human capital and more on intelligent, adaptive systems.

03 · Proprietary IP and the risk of commoditisation

Despite rapid change, proprietary IP remains critical (perhaps more than ever) if it's delivered in ways that match new client expectations and AI-driven competition. By encoding proven frameworks into agentic platforms that think, act and learn like your best consultants, firms can:

• Retain control over how expertise is applied and monetised.
• Deliver context-aware guidance at enterprise scale.
• Continuously evolve offerings as markets shift.

AI becomes the new delivery model for the expertise you spent years building.

Case story: turning IP into agentic value

A leading advisory firm faced two pressures: low-cost software competitors and clients demanding more innovative delivery. Its expertise was still market-leading, but its traditional delivery reduced its perceived value. Rather than compete on price, it built a proprietary agentic platform that embedded its IP into automated advisory workflows. Existing clients quickly joined pilots, and the platform is now emerging as a core revenue driver.

Insight: clients still value unique expertise. They just want new ways to consume it.

04 · External proof points and market forecasts

• Efficiency: 30–50% faster workflows for agentic leaders (BCG 2025).
• Scalability: expand client reach without added staff cost (McKinsey 2025).
• Recurring revenue: firms shifting to subscription models see higher LTV (Accenture 2025).
• Engagement: adaptive delivery improves client retention (KPMG 2025).
• IP defensibility: proprietary frameworks secured in closed agentic architectures (IBM IBV 2025).

"Agentic AI is reshaping how services are delivered: from human-centric projects to hybrid platforms where agents and experts collaborate." McKinsey & Company, The Agentic Organization (2025)

Where adoption is fastest:

• Strategy consulting: automated market analysis and scenario planning.
• Operations advisory: real-time process optimisation.
• HR & talent: personalised coaching and analytics.
• Sales & negotiation: adaptive training and guided support.

05 · The strategic imperative

The winners of the next consulting era will fuse human expertise with autonomous capability. Embedding proprietary IP into agentic platforms lets firms deliver continuous, adaptive value; create recurring, defensible revenue; maintain relevance as AI reshapes the market; and strengthen the monetisation of their core asset: expertise and IP.

For leaders, this isn't a technology upgrade. It's a business transformation. Those who act now will define new advisory categories; those who delay will see their models replicated, automated and undercut.

Standing still is no longer neutral. It's retreat.

Where should firms start?

Q: What are the first steps towards agentic consulting?
A: Audit your IP for agentic potential, map competitors experimenting with autonomous delivery, and engage specialist partners to prototype securely.

Conclusion: own the future of consulting

The agentic era has already begun. Advisory firms that productise their intellectual property through bespoke AI platforms won't just survive the shift. They'll lead it. The decision is simple: evolve now, or be replicated later.

If your organisation is exploring what agentic AI could look like in practice, Gysho can help you shape the strategy, identify the right opportunities, and move from vision to real, operational value.