Enterprise teams, live in production with Airtribe
Every story below is a delivered or in-delivery engagement. The short version is on this page; ask us for the full walkthrough on a call. Engagement facts as of August 2026.
SKEI ICE CREAMSFMCG · Forward-Deployed Engineering · Kochi, on-siteA ₹300 Cr+ business moves off a 30-year-old codebase, without stopping
Orders, billing and payroll ran on a codebase older than most of our team, verified on dot-matrix printouts. Airtribe embedded on-site and migrated the core to PostgreSQL with Claude.
The full story
The challenge
- A ~30-year-old codebase running the entire business
- Every change risky; knowledge held by a few people
- A rewrite would have paused a ₹300 Cr+ operation
What Airtribe did
- Embedded on-site in Kochi, our first FDE assignment
- Used Claude to map three decades of legacy code
- Migrated incrementally, verifying every report against the printouts the team already trusted
CUREFITFitness & D2C · Claude Code Enterprise · 10 weeksThe catalog team targets 2 hours → 30 minutes per product with Claude Code pipelines
A creative team fluent in Higgsfield and Seedance, but every project restarted from scratch. Ten weeks later: brand Skills, eval loops and batch pipelines wrapped around the stack they already run.
The full story
The challenge
- No shared Skills or encoded brand guidelines
- One product at a time, ~2 hours per footwear shot
- References hitting only ~50% fidelity
What Airtribe did
- Program built from a 5-person team discovery
- Live Claude Code setup, brand Skills, eval loops, TDD
- Batch pipelines over Higgsfield + Seedance; capstone pipeline per learner, demoed to leadership
CAB EXPERIENCESExperiential events · AI for Everyone · 2 phases70 non-technical learners go from casual ChatGPT use to live AI agents
Client services, creative, ops and business teams trained on their real pitches, briefs and vendor workflows. The design studio then went deep on the full creative AI stack.
The full story
The challenge
- AI use meant surface-level ChatGPT queries
- No shared frameworks; every pitch from scratch
- A weekend-working team with event schedules
What Airtribe did
- Foundation phase for all 70, pitched at a non-technical level
- Creative deep dive: Flux, Runway, Kling, Veo 3, HeyGen, ElevenLabs
- Weekday-evening sessions, recorded, comp-off friendly
NITTA GELATIN INDIAManufacturing (listed) · Microsoft-only estate · KeralaAI automations shipped with zero IT tickets, 100% inside Microsoft
No third-party APIs, no external hosting, by policy. The whole program ran on Copilot, Copilot Studio, Power Automate and SharePoint, on the client's own documents.
The full story
The challenge
- Restricted internet; standard AI training didn't apply
- Commercial, HR and ops working manually
What Airtribe did
- On-site discovery, program designed inside the approved stack
- Custom Copilot skill trained on their own templates
- Premium licenses bundled into the engagement
ABAD GROUPDiversified group · Claude Implementation · In deliveryDirectors, the CFO and GMs each ship a live tool with Claude in 8 weeks
Senior leadership across Abad Fisheries, Abad Builders & Interiors, and Corporate, moving from ChatGPT-as-search to Claude Chat, Cowork and Claude Code, with a live tool committed per participant.
The full story
The challenge
- Leadership stuck at ChatGPT-as-search
- Dashboards impossible without depending on IT
What Airtribe is doing
- Four phases: foundations, Cowork automation, dashboards with Claude Code, agents and capstone
- Builds mapped per role: costing MIS, BOQ generator, resume screener, audit agents
- 1 year of mentor support after the program
MANE KANCORIngredients mfr. (MANE Group, EU) · AI for Departments (HR) · In deliveryHR's most manual workflows become live tools, with data that never leaves
An exclusive cohort for HR, compliance and operations. Enterprise-grade Claude keeps every record in their environment; each participant builds the tool that kills their most manual workflow.
The full story
The challenge
- Previous AI training was theoretical; nothing changed on the ground
- Records compiled by hand; verification checked one PDF at a time
- EU-parent governance: no public AI systems
What Airtribe is doing
- Four discovery sessions mapped each participant's workflow
- Capstone tools built with dedicated mentors, owned permanently by the client
- Agreed migration path to the company's internal AI platform
Every story above maps to a program you can run with your own team.
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