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AI Innovation as a Service

Discover, buildand test AIinnovations, fast.

Enterprises are sitting on untapped AI potential. Experimentation usually starts inside tech teams, when the opportunity is organisation-wide. We run the structured programme that turns that potential into live pilots.

The problem

Enterprises are sitting on untapped AI potential.

  • 01

    Evolving AI capabilities

    The rapid advancement of LLMs and agentic AI is unlocking new ways for enterprises to enhance existing capabilities and accelerate innovation beyond traditional R&D cycles.

  • 02

    Cross-functional innovation

    AI experimentation often begins within tech teams, with immense potential to expand across business units — bringing domain expertise and technology together for organisation-wide impact.

  • 03

    Scaling competitive advantage

    Enterprises that embed structured AI ideation and experimentation into their workflows are uniquely positioned to lead in an AI-driven future.

Companies don’t have a lack of ideas. They lack a system to turn ideas into impact.

The track record

What the programme has moved so far.

8,000
Startups reached
1,867
Problem statements solved
100
Speakers, investors & enterprises
150
Live and online events

The formats

Three formats, one seamless experience.

Ideas → Prototypes → Pilots

  • 01

    Internal hackathon

    Cross-department teams solving real business problems — boosting innovation, engagement and retention along the way.

  • 02

    External hackathon

    Connects employees, students and innovators to build solutions that go beyond the office, sparking fresh ideas, real mentorship and partnerships with potential IP opportunities.

  • 03

    Innovation scouting

    Connects large enterprises with vetted startups and SMEs to solve internal challenges or deliver solutions for end customers, turning open problems into live pilots.

Our process

Structured, repeatable, enterprise-grade.

A six-phase delivery framework. Nothing is left to chance and nothing depends on one person remembering what happens next.

  1. 01

    Discovery

    Align on business goals, AI readiness, and identify problem statements.

  2. 02

    Design

    Craft the challenge brief, judging criteria and prize structure.

  3. 03

    Mobilize

    Recruit and onboard participants, form teams, run AI workshops.

  4. 04

    Build

    24–72 hours of intense creation with mentors and live support.

  5. 05

    Evaluate

    Expert judging, pitch presentations, winner selection.

  6. 06

    Scale

    Pilot roadmap, knowledge transfer and portfolio integration.

How an engagement runs

Three phases, from brief to showcase.

A programme typically runs 45 days from signature to the final event.

  1. Phase 1

    Programme setup

    • Theme and problem statements finalised against company and employee goals.
    • Startup eligibility and screening framework agreed, mentors and coaches confirmed.
    • Mentor and SME panel finalised — your technical evaluators alongside our industry mentors.

  2. Phase 2

    Application & selection

    • Applications open with challenge briefs and participation guidelines.
    • Shortlisted teams submit capability decks, product overviews, enterprise use cases and technical architecture.
    • Your SMEs run evaluations and demo sessions, and shortlist on technical capability, innovation, alignment and enterprise applicability.

  3. Phase 3

    Execution

    • A two-week build: teams produce enterprise-grade solutions through a structured execution programme.
    • Mentoring and interim evaluations — checkpoints, demo reviews and continuous progress assessment.
    • A final showcase that ends in named candidates for pilots, collaborations and commercial engagement.

How we support

End-to-end, nothing left to chance.

  • 01

    Challenge design

    AI problem framing, challenge briefs and judging rubrics tailored to your strategic goals.

  • 02

    Event operations

    Full logistics: platform setup, scheduling, communications and day-of facilitation.

  • 03

    AI mentorship

    A curated network of AI experts, startup founders and domain specialists as mentors.

  • 04

    Team building & workshops

    Diversity-balanced team formation, expectation setting and pitch preparation.

  • 05

    Legal & IP support

    IP agreements, data usage policies and participant contracts handled end to end.

  • 06

    Post-event outcomes

    Social media marketing, stakeholder management, reporting and pilot support.

Who mentors

Mentors with 15–25 years in the domain.

Programmes are mentored by practitioners, not facilitators. The standing panel spans SAP India strategy and early-talent leadership, large-scale enterprise SAP implementation, enterprise solutions and digital consulting, and SAP BTP and cloud delivery — alongside a curated network of AI experts, startup founders and domain specialists matched to each challenge.

  • 01

    Enterprise platform depth

    Leaders who have run SAP strategy, operations and early-talent development at country level.

  • 02

    Implementation scale

    Twenty-plus years leading large-scale enterprise SAP implementation and enterprise innovation.

  • 03

    Consulting & digital

    Eighteen-plus years across enterprise solutions, consulting and digital innovation.

  • 04

    BTP & cloud delivery

    SAP technology and delivery leadership across SAP BTP, cloud solutions and enterprise digital transformation.

Programmes delivered

What the numbers look like.

Clients anonymised pending consent

Innovation scouting

A global fintech challenged 200 startups to pitch their boldest ideas

The first APAC fintech competition of its kind, across three themes: data innovation, digital assets, and AI in fintech.

Data innovationDigital assetsAI in fintech
200
Startups participated
8
Final winners
2
Paid pilots

How it ran

  1. Week 1Co-defined problem statements with global business-unit heads.
  2. Week 2Launch event to mobilise startups and ecosystem partners across APAC.
  3. Week 3End-to-end applications management and startup onboarding.
  4. Week 4Pitch prep, API support, screening and demo-day readiness.
  5. Week 5C-suite demo day with live judging and winner showcase.
  6. Week 6Eight finalists recognised — the top two converted into paid pilots.

Internal hackathon

A global logistics enterprise ran a 48-hour internal AI hackathon

Optimising berth planning, yard operations and throughput with AI; enhancing sustainability, capacity planning and security; and automating RFPs and business processes.

Berth planning & yard operationsSustainability & capacityRFP and process automation
10
Teams participated
16
AI prototypes built
6
Pilots generated

How it ran

  1. Week 1Discovery workshops with the HR and IT business units.
  2. Week 2Challenge brief finalised; 120 employees signed up.
  3. Week 3AI-literacy bootcamp — eight hours of pre-hackathon training.
  4. Week 4The 48-hour hackathon itself: build, mentor, iterate, pitch.
  5. Week 5Judging, winner showcase, C-suite and external speaker demo day.
  6. Week 6Six pilot roadmaps handed to product and engineering.

Partner incubation

An enterprise software platform built a startup programme across retail, automotive and manufacturing

Early-stage startups with strategic product alignment, taken from shortlist to an equity-based engagement model and a live product showcase.

RetailAutomotiveManufacturing
10
Startups selected
3
Industry tracks
7
Weeks end to end

How it ran

  1. Weeks 1–2Identified and shortlisted early-stage startups with strong strategic alignment to the platform across target industries.
  2. Weeks 2–4In-depth technical and commercial assessments with the partner team to validate solution fit for the end customer.
  3. Week 5Customer engagements and use-case workshops to define implementation scope within the enterprise landscape.
  4. Week 6Selected startups formally onboarded into an equity-based engagement model, with strategic funding from the partner.
  5. Week 7Programme launch and live product showcase to prospective customers at a demo day.

Innovation scouting

An enterprise software leader put startups on the main stage at its flagship India event

A startup studio and pitch showcase run across two cities as part of the client’s flagship customer event, spanning its cloud application portfolio, business technology platform, and service and support.

Cloud application portfolioBusiness technology platformService & support
30
Startups participated
7
Final presentations
2
Cities

How it ran

  1. Weeks 1–2Worked with VCs and incubators to identify high-potential startups aligned to the event themes.
  2. Weeks 2–4Curated and coached the pitch presentations, planned speakers, and ran a demo day for the client’s startup team and the founders.

Why us

AI catalysts, built for enterprise.

  • 01

    AI-native DNA

    We have built and scaled AI startups ourselves. Practitioner depth, not just event management.

  • 02

    Enterprise grade

    Governance, IP protection, compliance and executive reporting built into every engagement.

  • 03

    Startup speeds

    The agility of a startup — faster setup, more flexibility, real-time problem solving.

  • 04

    Outcome focus

    Success measured in pilots launched, not participants satisfied. ROI is the north star.

Start here

Let’s design your firstAI hackathon together.

Bring a business problem and a date. We will come back with a challenge brief, a mentor panel, and a six-week plan that ends in pilots rather than slides.

Talk to usSee the GCC models