17th Edition · Category 02 of 31

The Functional AI Innovation Award

This category is for AI put to work inside a business function — sales, marketing, customer experience, operations, finance and supply chain. The model matters less here than the workflow it changed and the numbers that followed.

Judged by an independent panel of 250Ceremony 18 February 2027Venue Hotel Ashoka, New Delhi
Independent jury
250

Academics, scientists, officials, investors

Innovations evaluated
4,500+

Across seventeen editions

Star rating
1–5

Every nominee earns an AGBA Innovation Star

Running since
2010

India’s longest-running innovation award

Before you enter

Three categories sit close to data. This is the one about method and evidence.

Most nominations that fail here fail because they were in the wrong category. Read across before you write anything.

You are here

Innovation in Functional AI

AI applied inside a function: sales, marketing, CX, operations, finance and supply chain.

SalesCXOpsFinance

This category

Adjacent category

Innovation in Core AI

Foundation models, agentic systems and the AI itself rather than its application.

Agentic AIModelsRAG
Adjacent category

Innovation in Industry AI

Vertical AI built for one industry — BFSI, health, retail, telecom, manufacturing.

BFSIHealthRetail
Eligibility

Who should enter

  • Sales, marketing and customer-experience systems with measured conversion or service outcomes
  • Finance, risk and compliance workflows where AI changed cycle time or accuracy
  • Operations, IT and digital-workplace automation with adoption data
  • Supply chain and planning applications running against real constraints
  • Agent and copilot deployments that moved a function’s numbers, not a demo’s

What this award recognises is a function that works differently now — fewer handoffs, faster close, better resolution. Model choice is context, not the achievement.

If the innovation is in the model or the platform itself, enter Innovation in Core AI. If it is built for one industry’s workflow, enter Innovation in Industry AI.

Assessment

What the jury looks for

  1. Problem definition & market opportunityWhether the innovation solves a real problem, backed by evidence and a measurable impact on its target audience.
  2. InnovativenessNovelty and uniqueness — new technology, functionality or business model — measured against what already exists, including IP.
  3. Market potential & impactSize and growth of the addressable market, competitive landscape, and scalability across geographies.
  4. Social impact & sustainabilityContribution to society and the environment, including social responsibility and the UN Sustainable Development Goals.

These are the same four criteria — problem definition, innovativeness, market impact and social/sustainability impact — used to assess every category. In this category the jury also weighs methodological rigour — including what you did to avoid fooling yourselves — the decision that changed as a result and what it was worth, the reproducibility and honesty of the evaluation, and the engineering quality of the data foundation underneath. Read the full evaluation criteria.

The panel

Who judges this category

Nominations are assessed by an independent jury, not by the organisers. Jurors are matched to the categories where their expertise lies. These are among those who read applied and functional AI entries.

Dr. Avik SarkarDr. Avik SarkarBig Data and AI expert, Indian School of Business
Prof. Arunabha MukhopadhyayProf. Arunabha MukhopadhyayProfessor, Information Technology and Systems, IIM Lucknow
Prof. Saurabh KumarProf. Saurabh KumarAssistant Professor, Information Systems, IIM Indore
Dr. Aloknath DeDr. Aloknath DeFormer Chief Technology Officer, Samsung R&D Institute India
Dr. Ashutosh ModiDr. Ashutosh ModiAssistant Professor, Computer Science and Engineering, IIT Kanpur
Prof. Muhammad BilalProf. Muhammad BilalProfessor, Applied Artificial Intelligence and Technology Ethics, Birmingham City Business School
Prof. D. JanakiramProf. D. JanakiramDirector, Institute for Development and Research in Banking Technology
Prof Satish Narayana SriramaProf Satish Narayana SriramaAssociate Professor, Computer and Information Sciences, University of Hyderabad

Eight of roughly 250. The full panel spans the IITs, the IIMs, the IIITs, the Indian School of Business, NITI Aayog and central ministries, the Department of Science & Technology, MeitY and CERT-In. See the full jury panel.

On the night

Functions on the podium

The 16th edition split generative AI into functional groups — CX and GTM, operations, BFSI, autonomous software. These are among the winners, photographed at the ceremony.

Jio Platforms receiving the Gen AI CX, Sales and GTM Intelligence award at the 16th Aegis Graham Bell Awards
Jio PlatformsGen AI — CX, Sales & GTM — 16th edition
entomo receiving the Gen AI Ops, IT and Digital Workplace award at the 16th Aegis Graham Bell Awards
entomoGen AI — Ops, IT & Digital Workplace — 16th edition
Winners felicitated on stage at the 15th edition of the Aegis Graham Bell Awards
15th editionWhere the Gen AI categories first split out
Precedent

Previous winners

Functional AI was recognised as a set of generative AI groups at the 16th edition, and under broader AI and automation labels before that. The complete record sits in the winners archive.

Reliance Jio Infocomm16th Edition · Gen AI, CX, Sales & GTM IntelligenceWinner
Jio Platforms16th Edition · Gen AI, CX, Sales & GTM IntelligenceWinner
Liquidmind16th Edition · Gen AI, CX, Sales & GTM Intelligence, startup trackWinner
Entomo16th Edition · Gen AI, Ops, IT & Digital WorkplaceWinner
VF Worldwide (VFS)16th Edition · Gen AI, Ops, IT & Digital WorkplaceWinner
Tata Consultancy Services16th Edition · Gen AI, Autonomous Software & SDLCWinner
Decimal Point Analytics16th Edition · Gen AI, BFSI, Wealth & ComplianceWinner
Canara HSBC Life Insurance16th Edition · Gen AI, BFSI, Wealth & ComplianceWinner
MyFi Fintech16th Edition · Gen AI, BFSI, startup trackWinner
Hyprbots Systems16th Edition · Gen AI, BFSI, startup trackWinner

Category names have changed across editions as the field has moved; the rows above are the closest equivalents in the published record. See the winners archive for the full 1st–16th edition history.

The route

What happens after you submit

  1. Stage one · now
    Nomination registration

    Register your company and category through the nomination process, then complete the detailed nomination form and processing fee.

  2. Stage two
    Jury presentation

    Present the innovation to the jury and take questions. Jurors score each entry against the four evaluation criteria and rank it within its category.

  3. Stage three
    Star Certification

    Nominees are also assessed for AGBA Innovation Star Certification, an independent maturity rating alongside the category judging.

  4. Stage four
    Finalists announced

    Once every category has been evaluated, finalists are announced on the website ahead of the ceremony.

  5. Stage five
    Award ceremony

    Winners are honoured on 18 February 2027 at Hotel Ashoka, Chanakyapuri, New Delhi.

Questions

Before you write your nomination

How is this different from the Core AI category?

Core AI is about the model, the platform or the agentic system itself. This category is about a function that now runs differently because AI was applied to it.

Do we need to name the model we used?

Say what you used and why, but the panel weighs the workflow change and the measured result far more heavily than the choice of model.

Is an internal deployment eligible without a product?

Yes. Internal deployments are read on the same criteria, and often have the clearest before-and-after numbers.

How do I submit a nomination?

Nominations are submitted through the nomination process, which sets out the stages, the supporting material required and the current edition’s dates.

17th Edition

Put your workflow in front of the panel

Nominations for the Functional AI Innovation Award are read by an independent jury of practitioners and researchers. Bring the function’s numbers before and after, not the model card.