AI Implementation
By 9AI · Build, Integrate, Deploy & Adopt · Layer 02 of 3
An embedded team turns 9OS into production systems your teams actually use — built, deployed, and adopted, month on month.
The same 4-step execution ladder, run again every month, for as long as the engagement lasts.
One embedded team. Three workstreams.
A dedicated embedded team inside your company delivering production AI systems your workforce actually runs.
Deploy 9OS
9OS configured around your floor workflows — no rip-and-replace, no forcing teams into foreign processes.
- Your SOP encoded as workflows and gates
- Your industry edition, built on 9OS
- Live alongside the tools you already run
Custom development
Custom agents, automations, and ERP integrations built specifically for your unique operations.
- Custom agents and automations in production
- Integrations: CRM, ERP, WhatsApp, email, sheets
- Working software, not proofs of concept
Drive adoption
Floor training, role playbooks, and daily support until the new workflow becomes second nature.
- Hands-on enablement inside your office
- Role-level playbooks and floor training
- Usage tracked in the same monthly report
All three run month on month. One team plans, builds, ships, and trains on a monthly cycle, for as long as the results earn the next month.
From AI pilots that stall to AI your company runs on.
A pilot, then silence.
A vendor demos, ships a proof of concept, and leaves. Six months later the tool sits unused, the team is back on spreadsheets, and AI is a line item nobody defends.
You live with
- A proof of concept that never reaches production
- Software forced onto workflows it doesn't fit
- No one owns adoption after go-live
- Momentum dies between projects
A team that ships and stays.
9OS configured to your workflows, custom AI built where off-the-shelf falls short, and the same team on your floor until the new way of working sticks.
You get
- 9OS configured around how you already work
- Custom agents and automations in production
- Teams trained hands-on until it sticks
- A new release lands every month
The difference isn't a better pilot. It's a team that stays until AI is how the work gets done.
Six steps. Run every month, for as long as you need us.
The same cycle that powers every 9AI engagement: configure, implement, train, ship, measure, and own the outcome.
Configure & Customise
Set up 9OS around how your teams already work.
We map your departments, processes, tools, and handoffs first, then configure 9OS around them. No rip-and-replace, no forcing your team into someone else's workflow.
Implement & Automate
Build AI agents, automations, and integrations into your stack.
Agents and automations wired directly into the tools you already run: CRM, ERP, WhatsApp, email, spreadsheets. Working software in production, not proofs of concept.
Train & Drive Adoption
Get your teams using it daily, with hands-on enablement until it sticks.
Enablement happens inside your office: playbooks, floor-level training, and daily support. The engagement isn't done when the software ships, it's done when your team uses it without thinking.
Execute & Ship Monthly
New automations and improvements land every month.
A mid-month staging release and an end-of-month production deployment, every month, for as long as the engagement runs. Momentum is the deliverable.
Measure & Optimise
See what's working in production and tune for business impact.
Real usage feeds back into the roadmap. Models refined, teams retrained, pipelines improved, based on what production actually shows, not what the plan assumed.
Own the Outcomes
Track ROI and prove the impact in business terms.
Every release is measured against the baseline captured before it shipped. A monthly impact report shows before and after, in business terms your CFO signs off on. As the new way of working sticks, the engagement matures into an annual 9OS license with an FDE attached.
One monthly cycle, on repeat.
No two-year transformation plan. The engagement runs the same loop every month, and every month ends with a number.
Plan & baseline
The month's outcomes are picked with you, and the baseline they'll be measured against is captured before anything ships.
Build
9OS configuration and custom development move in parallel: two engineers, two releases in flight at once.
Staging release
You see the release working on your real workflows before it touches production.
Ship & train
The release goes to production and your team is trained on it, on the floor, the same week.
Measure & replan
An impact report shows before and after in business terms. What production showed plans the next month.
The cycle repeats for as long as you need us, typically 3 to 6 months to full adoption. Then the engagement matures into an annual 9OS license with a Forward Deployed Engineer attached.
One embedded engineer. A build team behind them.
Not a rotating account manager and a ticket queue, but a small, named team that works from inside your company for the length of the engagement.
Forward Deployed Engineer
AI AuditEmbeds inside your company, runs the relationship, translates business goals into what actually gets built.
Software Engineer
9AI officeShips the build (automations, agents, integrations) against the roadmap the FDE brings back.
Software Engineer
9AI officeShips alongside them. Two sets of hands means two releases can move in parallel, not queued one after another.
Same three people for the length of the engagement. No handoffs, no ticket queue.
Same team. Different plan for every client.
Step one is always the same question: what actually moves the needle for you. The build that follows looks different every time.
Revenue growth
IT Services & Retainers
- Lead qualification agents
- Proposal generation
- Monthly retainer cadences
Operational efficiency
Manufacturing & Logistics
- RFQ-to-quote automation
- Inventory & vendor sync
- QC and dispatch workflows
Internal AI capability
Enterprise & Regulated industries
- Team training & playbooks
- In-house handover plan
- Governance & audit trails
You pay for results, not hours logged.
Every release is measured against the baseline captured before it shipped, before and after, in the same report.
Quote turnaround automation
6 hrs → 28 min
Monthly OPEX reduction
$18K → $3K
127 hours logged
Engineering time, this month
No case study needed to prove it worked. This month’s number is the proof.
Agencies advise. We embed and ship.
Compare what actually changes when the team lives inside your company instead of visiting it.
Visits, then vanishes.
- Quarterly check-ins, not daily involvement
- Generic playbooks, not your actual floor data
- Hands you a deck, then leaves
- Bills hours, regardless of outcome
Embeds, then owns the outcome.
- Embedded daily, in your systems and your standups
- Built from the SOP mapped during your audit
- Stays through adoption, not just delivery
- Bills outcomes: the baseline before, the number after
9AI does not just license software. We make it land.
The Enterprise AI Audit decides what to build, 9OS is the operating system that runs the work, and Embedded AI Implementation is how both become production systems your teams actually use.
AI Audit
Strategy & ReadinessA Forward Deployed Engineer maps your people, processes, systems and data, then shows where AI pays for itself first.
YOU ARE HEREAI Implementation
Build, Integrate, Deploy & AdoptAn embedded team turns the strategy and the operating system into production systems your teams actually use.
9OS Platform
AI Operating System PlatformThe execution layer that connects people, processes, data, AI and the enterprise systems you already run.
9OS is adapted to your industry.
Every industry Operating System is the same platform, configured for how that industry actually works. The engine underneath never forks.
The Experience Engine
4+ years. 12 industries. Dozens of deployments. We aren't learning on your dime. We bring pre-built patterns from BFSI, Healthcare, Logistics, Manufacturing, and Education directly into your workflow.
CableOS
3–4 days → < 10 minutes RFQ-to-Quote Turnaround
9AI replaced Cable Manufacturers’ manual RFQ-to-quote workflow with a five-stage, SAP-integrated pipeline running live in production.
TestnTrack
98.5% Accuracy, 95% Faster: AI Grading That Outperforms Human Evaluators
TestnTrack graded 100,000+ answer sheets per month with contracted human evaluators — ₹12L/month, 72-hour turnarounds, and 93% accuracy that generated student complaints. 9AI's dual AI grading engine (vision OCR + LLM rubric evaluation) delivers results in 4 hours at 98.5% accuracy. Monthly savings: ₹10.2L. Projected 3-year ROI: 640%.
Kingdom of Chess
Six Fragmented Tools → One AI Operations Hub: Kingdom of Chess
Kingdom of Chess ran a 10,000-student chess academy across 30 countries from six disconnected tools — CRM, scheduling, payments, and comms on separate systems with no data flow between them. Every enrolment took 7 manual handoffs. 9AI consolidated everything into one AI operations platform: 85% less admin, 61% more conversions, churn down from 7.5% to 4.8%.
The House of Things
How 9AI Cut Product-Search Time 96% for a Luxury Furniture Brand
The House of Things curates 30,000+ designer SKUs but clients arrive with mood-board images and vague briefs. Designers spent 18 minutes per search trawling Magento. 9AI deployed a CLIP-powered visual search platform that returned a ranked top-10 in under 60 seconds, recovered ₹7.5L per month in designer labour, and lifted cross-sell conversions from 8% to 26%.
Kansoft
10× Video Output at 91% Lower Cost: DataReel's AI Production Pipeline
DataReel''s enterprise clients needed thousands of personalised training and onboarding videos. At ₹2,500 per video and 3 days per build, the economics were broken. 9AI engineered a Data-to-Video Engine — GPT-4o scripting, ElevenLabs TTS, and FFmpeg assembly. Production time: 7 minutes. Cost per video: ₹220. Weekly capacity scaled from 250 to 7,500.
The questions leaders ask first.
Three workstreams, one team: configure and implement 9OS, the AI Operating System, around how your teams already work; build the custom agents, automations, and integrations your business needs beyond it; and drive adoption hands-on until the new way of working sticks.
Put a dedicated AI team
inside your company.
Whether you’re exploring AI, ready to deploy, or looking to embed AI across your operations, we’ll help you identify the right first step.
The first step is always a conversation.