Enterprise AI Video Generation at Scale & Strategic Partnership with Kansoft
Strategic AI Partnership Impact
Kansoft Solutions — full-stack IT consultancy & product house
Enterprises demanded thousands of personalised videos & expansion of AI services for existing client base
AI Native Teams Growth Office
- — 90% cost reduction per video
- — Production time: 3 days → <10 min
- — 3 new AI service lines live in 4 months
“9AI helped us leap from bespoke coding to productised AI. Our clients now see results in minutes, not weeks.”
Pain Narrative
Kansoft'senterprise customers, banks, healthcare groups, and manufacturers need hyper-personalised onboarding, training, and marketing videos at scale. Each video required scripting, voice-over, motion graphics, review cycles, and finally manual upload to the client's LMS or CRM. Even with an external studio, a single batch of 500 videos cost ₹12L and took almost a month, leaving campaigns stale and untracked. Kansoft wanted to deliver the same volume within hours, complete with analytics, while also embedding AI agents that remove repetitive ticket triage, SOP checks, and travel expense approvals across its service portfolio.
Data-to-Video Engine
3-week audit & SOP blueprint
End to End AI Solutions
AI Resource for In-house Projects
Co Created Enterprise AI Video SaaS
9AI co-engineered a Data-to-Video Enginethat ingests spreadsheets or API feeds, auto-generates a brand-safe script, selects the correct avatar/voice, renders HD output in a GPU-optimised cloud farm, and pushes finished assets plus engagement tags back to Salesforce, HubSpot, or the client's LMS.
Parallelly, 9AI embedded agentic chatbotsthat answer product questions, enforce SOPs, and manage travel requests. All components funnel telemetry into a real-time analytics layer, letting Kansoft's clients A/B test thumbnails, CTAs, and message tone, without touching a timeline editor.
Implementation Strategy
- — 10 stakeholder interviews, 4 process-mapping workshops
- — 26 manual steps collapsed into 5 automated modules
- — Success metrics & governance model defined
- — 4-week MVP for a healthcare pilot (200 videos/day)
- — Phased rollout to 5 enterprise accounts in 12 weeks
- — Training bootcamps; feedback loop auto-tags failed renders for retrain
- Input ingestion: FastAPI uploader + S3 watcher
- Script & voice: GPT-4o + ElevenLabs TTS, multi-language
- Render farm: Dockerised FFMPEG, GPU-agnostic (AWS EC2 G5, on-prem RTX)
- Agentic layer: LangChain-RAG with vector DB → chat / SOP / travel bot
- Security: VPC-isolated, AES-256 at rest, SOC 2 logging to ELK
Business Impact at a Glance
| Metric | Pre-9AI | Post-9AI | Δ Impact |
|---|---|---|---|
| Avg. video build time | 3 days | 7 min | ▼ >99% |
| Cost / personalised video | ₹ 2,500 | ₹ 220 | ▼ 91% |
| Weekly video capacity | 250 | 7,500 | ▲ 30x |
| Manual ticket triage | 100% human | 65% AI-resolved | ▼ 65% human load |
| Monthly labour spend on media tasks | ₹ 18 L | ₹ 5 L | ▼ ₹ 13 L |
| 12-mo projected ROI | — | 580% | — |
Start with the audit.
Keep everything. Risk nothing.
The 4-week audit is your entry point. Even if you don't proceed, you walk away with the most detailed SOP your company has ever had, a validated AI strategy, and solution mockups. All yours to keep.
The first step is always a conversation.