Shape & evaluate your agentic consulting opportunity

01 · Introduction to agentic solutions

In 2025, the term "agentic" evolved rapidly across the GenAI landscape. Every AI application seemed to rebrand itself as an "agent", but what does that actually mean in practice?

The four types of agentic software

To understand how advisory and research firms can evolve their services, it's essential to distinguish between four fundamental categories: representing different levels of autonomy, collaboration and operational sophistication:

• Instruction-following / conversational agents: respond to natural-language inputs and execute well-defined tasks (Q&A, summaries, explanations, simple research steps). The entry point for agentic capability.
• Workflow agents: plan and execute multi-step tasks across tools, datasets and applications; automate structured processes like research assembly, data collection or report generation. The backbone for operationalising advisory IP.
• Multi-agent frameworks: coordinate multiple specialised agents as a "virtual team" (planner, researcher, analyst, reviewer, strategist), enabling complex cross-functional tasks that mirror how teams collaborate.
• Autonomous systems, the highest maturity: goal-driven agents capable of sustained operation, self-correction and adaptation, functioning as persistent digital workers that own outcomes, not just tasks.

The underlying technologies

Beyond the large language model itself, agentic systems rely on a supporting stack:

• Retrieval-augmented generation (RAG): draw from your firm's knowledge base in real time, grounding outputs in proprietary insight.
• Fine-tuning & domain adaptation: align models with your firm's language, frameworks and reasoning style.
• Tool calling & system integration: query databases, generate slides, execute workflows, turning responders into digital workers.
• Guardrails, policies & safety layers: control what agents can say or do, ensuring compliance, confidentiality and professional integrity.
• Memory & context management: track previous steps, decisions and context across interactions.
• Planning & orchestration: break tasks into steps, select tools, adapt to change and recover from errors.
• Evaluation, feedback & self-correction: critique and refine outputs, increasing reliability and reducing oversight.

What this means for you

The right architecture and technology stack depend entirely on the service you intend to digitise. Not every use case requires the full suite. Simpler solutions often deliver strong results more quickly. As complexity increases (in agent maturity or supporting technologies), so do the time, investment and organisational readiness required. Knowing where your service fits helps you decide how ambitious your first agentic build should be.

02 · Evaluating agentic opportunities

Not every service or firm is suited to agentic transformation. Some rely heavily on human judgement; others may be too complex for current technology. So how do you determine your true opportunity?

Add the strategic dimension: proprietary IP

Many firms begin by identifying services that can be automated. But the greatest opportunity (the one that creates defensible, blue-ocean differentiation) lies in embedding proprietary IP into agentic systems to create distinctive, high-value offerings.

The agentic evaluation framework

Evaluate opportunities across two dimensions: operational fit and strategic IP leverage.

1. Structurally repeatable services: market studies, benchmarks and capability assessments often follow predictable outlines, making them highly automatable.
2. Parameter-driven services: clear variables (industry, region, technology scope) map easily to agent workflows.
3. Information-synthesis work: agents excel at aggregating data, extracting patterns and generating structured insight.
4. Services built on proprietary frameworks: embedding your unique maturity models, capability maps or risk matrices turns IP into a digital product competitors can't easily imitate.
5. Multi-step, process-heavy services: step-driven tasks like list-building or source validation align well with workflow or multi-agent systems.
6. High-volume or recurring deliverables: weekly intelligence updates or monthly dashboards benefit greatly from automation.
7. Low-judgement, time-consuming work: initial research sweeps, data extraction and first-draft structuring are ideal candidates.

Creating your blue ocean

Combined with agentic technologies, proprietary frameworks and data assets enable always-on advisory offerings; real-time assessments tailored to client needs; digitised versions of signature methodologies; scalable micro-products built around niche IP; and premium tools competitors can't replicate. This is where firms move from automation to true intellectual-capital acceleration.

Two dimensions of agentic fit

A service is a strong candidate when it is both:

• Operationally automatable: repeatable, parameter-driven, multi-step, synthesis-heavy, high-volume and low-judgement.
• Strategically differentiating: powered by proprietary frameworks, rooted in unique methodologies, dependent on firm-specific taxonomies, and built on exclusive data or insight.

The intersection of these dimensions identifies the true blue-ocean opportunities, for example:

• An automated market study powered by your "Market Attractiveness Model."
• A digital maturity-assessment agent that scores clients using your proprietary methodology.
• A continuous market-intelligence agent that interprets signals through your trend taxonomy.

03 · The use-case prioritisation matrix

Once your agentic use cases are defined, evaluate and prioritise them using a simple 2×2 matrix:

• Business value (1–5): revenue, margin, client differentiation, scalability, and the strategic role of proprietary IP.
• Feasibility (1–5): process clarity, data availability, technical complexity, organisational readiness and required agent maturity.
• Bubble size: upfront investment (small / mid / large): architecture, integrations, fine-tuning, RAG infrastructure, evaluation systems and governance.

Then plot the matrix:

• High value / high feasibility → top priorities.
• High value / low feasibility → roadmap items.
• Low value / high feasibility → quick wins.
• Low value / low feasibility → deprioritise.

Finally, select 1–2 high-impact pilots: use cases with strong value, manageable complexity and the potential for early wins.

04 · Putting it into practice

Consider a firm that provides regulatory-compliance monitoring and readiness assessments for clients operating across multiple jurisdictions. Traditionally, this requires analysts to track regulatory updates, interpret changes, map them to client obligations and prepare periodic reports, a time-consuming process with many repeatable steps.

An agentic solution could automate much of it. A workflow agent might continuously monitor regulatory sources, extract key changes, classify them using your firm's proprietary compliance taxonomy, and map them to specific obligations within each client's operating environment. A separate evaluator agent could assess potential impact via your proprietary risk-scoring framework. Human experts still review high-impact changes, but the bulk of the recurring effort (scanning, synthesising, classifying and drafting) is handled automatically.

By embedding your IP (such as your compliance maturity model or risk heat-mapping framework), the solution becomes more than an automation tool. It becomes a differentiated advisory product. Instead of quarterly updates, you deliver real-time, agent-generated alerts, tailored assessments and continuously evolving compliance dashboards, shifting from a periodic, analyst-driven activity to an always-on advisory capability clients can't easily replicate elsewhere.

Conclusion: bringing it all together

By now you understand what agentic solutions are, the technologies that power them, and how to evaluate your advisory services for their agentic potential. Using the fit framework and prioritisation matrix, you can identify opportunities that combine business value, feasibility and appropriate investment, and land on a well-defined use case that is both meaningful for your business and achievable with today's capabilities.

This is where analysis turns into action. Once your use case is selected and prioritised, you have enough clarity to move into the next phase: designing and developing your first agentic solution. In the next article, we'll guide you through that build step by step: from mapping the service workflow and defining the solution design, to creating your first prototype and preparing it for production. This is where your agentic opportunity becomes real, and your firm begins turning its intellectual capital into a new generation of scalable, digital consulting solutions.