The Future of Consulting Is Agentic: Beyond Traditional Advisory

Daniel Cohen-Dumani, Founder and CEO of Xperio Labs, joins Better Tech to discuss how Agentic AI is reshaping consulting, institutional knowledge, delivery workflows, and the future of professional services.

FEATURED GUEST

Daniel Cohen-Dumani

Why this conversation matters now

Professional services firms are under pressure to deliver faster, protect proprietary expertise, and prove value in a market where general knowledge is widely accessible through AI.
This episode explores the questions leaders are asking now:

01.

What happens when clients can access general knowledge directly through AI?

02.

How can consulting firms protect and activate proprietary expertise?

03.

What does human-AI partnership look like in professional services?

04.

How do firms use AI in high-stakes work without losing trust?

05.

Can AI reduce delivery timelines from months to days?

06.

How should consulting teams change as AI reshapes delivery?

What you'll learn in this episode

01.

Why GenAI changed the value equation for consulting firms

02.

What an AI operating system for consulting actually means

03.

Why human-AI partnership is more valuable than replacing consultants

04.

How institutional knowledge becomes the foundation for trusted AI

05.

Why transparency, traceability, and low hallucination risk matter

06.

Where Agentic AI can support proposals, contracts, and onboarding

07.

Why consulting firms need AI embedded into everyday workflows

Who this episode is for

CEOs and managing partners CTOs and technology leaders Professional services leaders Operations leaders AI and innovation leaders Growing consulting and services firms

Our host

Haseeb Khan 1

Haseeb Khan

VP, Technology

Haseeb Khan is a founding member and Vice President of Technology at tkxel with over 23 years of experience in software engineering and technology leadership. He has played a key role in shaping tkxel’s engineering foundations, delivery standards, and technical culture. His expertise covers enterprise platforms, distributed systems, mobile solutions, legacy modernization, and AI/ML.

A preview of the key takeaways

01.

Consulting is moving beyond access to general knowledge

Daniel explains that consulting has traditionally provided specialized expertise. With GenAI making general knowledge widely accessible, firms now need to differentiate through proprietary experience, institutional knowledge, and trusted delivery.

02.

An AI operating system needs more than a chatbot

For Daniel, an AIOS for consulting includes human-AI partnership, domain knowledge, firm-specific expertise, traceability, and AI embedded into everyday workflows, not just a standalone assistant.

03.

Institutional knowledge is the foundation

Consulting firms need a digital second brain that captures past projects, proposals, contracts, strategies, delivery patterns, and domain-specific expertise.

04.

Trust and traceability matter in high-stakes work

Consulting and professional services need AI outputs that can be trusted, traced, and explained, especially when work involves contracts, compliance, strategy, or client-facing recommendations

05.

Agentic workflows can change delivery speed

From discovery and research to proposals, contract intelligence, onboarding, and offboarding, Agentic AI can help firms move faster while still using human expertise to guide outcomes.

Why tkxel is sharing this conversation

 tkxel helps growing businesses embed AI into real workflows through Agentic AI, software engineering, data readiness, product development, and workflow transformation.

This episode reflects a challenge many knowledge-intensive teams face today: AI can make general information easier to access, but competitive advantage still depends on proprietary expertise, trusted delivery, and well-structured internal knowledge. Daniel’s perspective adds context for leaders exploring how to capture institutional memory, accelerate delivery, and build AI systems that support experts instead of replacing them. 

Key concepts covered in this podcast

1

Agentic AI

How AI agents can support complex professional services workflows.

2

AI operating system

What it means to embed AI into the way consulting firms work.

3

Institutional knowledge

How firms capture and reuse proprietary expertise across teams.

4

Digital second brain

How structured knowledge systems help teams deliver faster.

5

Trusted AI

Why transparency, traceability, and explainability matter in client work.

6

Proposal intelligence

How AI can support discovery, research, and proposal development.

7

Delivery acceleration

Where AI can reduce friction across contracts, onboarding, and execution.

Frequently Asked Questions (FAQs)

Is this episode only for consulting firms? Expand FAQ Collapse FAQ
No. It is also relevant for any knowledge-intensive business that depends on expertise, documentation, proposals, contracts, research, and client delivery.
What is the core focus of the episode? Expand FAQ Collapse FAQ
The episode focuses on Agentic AI for consulting, AI operating systems, institutional knowledge, trusted AI, proposal intelligence, and faster professional services delivery.
Can this help teams planning AI initiatives right now? Expand FAQ Collapse FAQ
Yes. It is useful for teams thinking about how to capture internal knowledge, improve proposals, automate research, and embed AI into high-value workflows
Why is this podcast gated? Expand FAQ Collapse FAQ
It is offered as an on-demand resource for leaders researching Agentic AI, knowledge management, consulting transformation, and AI-enabled delivery models.

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