InLogic AI — Three pillars. One operating model.
DEPLOYMENT LAB Operational GOVERNANCE & AGENT OPS Active VERTICAL AI Active FIELD OFFICES Chennai · Hyderabad · Singapore · Dubai · Melbourne · Auckland DEPLOYMENT LAB Operational GOVERNANCE & AGENT OPS Active VERTICAL AI Active FIELD OFFICES Chennai · Hyderabad · Singapore · Dubai · Melbourne · Auckland
InLogic AI
InLogic AI  ·  Three Pillars  ◆  One Operating Model Est. 2025  ·  A practice of InLogic Technologies
DEPLOY · GOVERN · OWN THE VERTICAL

Three pillars. One operating model.

We deploy AI inside your business, govern it once it's live, and own the vertical platform underneath — with measurable outcomes you can take to your board.

See What We Deliver → Start a Project
FIG. 01 · LAB TOPOLOGY v2026.04 ∞ ITERATIONS OPERATIONAL
§ 01 The Thesis

One company. Three pillars. All running today.

AI without governance is risk. Governance without deployment is theory. And neither matters without sector depth where it counts. We run all three — in parallel, through one operating model — so every engagement compounds across them.

The work we deliver in deployment teaches us where governance has to harden. The governance we build informs which verticals we own end-to-end. One Lab. Three pillars. Pulling in the same direction.

§ 02 · PILLAR I AI Deployment Lab
PILLAR I OPERATIONAL

AI Deployment Lab.

AI deployed inside your business in weeks, not quarters — with outcomes you can show your board.

Productised sprint packages with fixed timelines and defined scope. Built to win mid-market enterprise work — fast, transparent, no discovery wrapped in a discovery wrapped in a contract.

You see the package, you see the timeline, you see what gets shipped.

Active Markets
India UAE Singapore Australia New Zealand
SPRINT CATALOGUE · v2026.04 SHIPPING
AI Discovery Sprint Roadmap + feasibility 2 weeksfixed scope
AI Prototype Sprint Working proof-of-concept 4 weeksfixed scope
Copilot Build Production-ready AI assistant 8 weeksfixed scope
RAG Knowledge Platform Secure retrieval deployment 10 weeksfixed scope
SDLC Transformation Team-wide AI delivery rollout 12 weeksscoped
Fixed timelines. Defined scope. Outcome metrics built in.
§ 03 · PILLAR II Governance & Agent Ops
PILLAR II ACTIVE

AI Governance & Agent Ops.

Run AI agents in production with deployment-grade governance — the audit, oversight and control your enterprise actually needs.

Most enterprises are deploying agents at speed and discovering they have no way to govern, audit or operate them once they're live. We deliver the layer that closes that gap — from agent registry to policy enforcement to full observability.

Compliance-ready by design. Built for the regulators of 2026, not the dashboards of 2022.

01 Agent Registry 02 Audit Trails 03 Policy Enforcement 04 Observability
The Enterprise Gap · 2026
79% deploy AI agents
→
11% run them in production
The opening · Source: industry surveys, 2026

Governance is not a feature. It is the next platform.

House Position · InLogic AI

§ 04 · PILLAR III Vertical AI-as-a-Service
PILLAR III ACTIVE

Vertical AI-as-a-Service.

Sector-specific AI platforms with compliance built in — so you don't build from scratch and you don't go to production alone.

Pre-built AI stacks for the sectors where domain depth is the moat. Healthcare, financial services and government — each with the integrations, compliance posture and workflow understanding the sector demands.

Subscription model. Sector-shaped. Faster time to value than building generic AI inside a regulated environment ever could be.

SECTOR PLATFORMS ENGAGED
V-01 Healthcare Digital health · clinical workflow · patient platforms Active
V-02 Financial Services Regulated workflows · compliance · regional rails Active
V-03 Government Citizen services · case management · public data Active
§ 05 The Lab

All three pillars run through one Lab.

Five disciplined stages. The same operating model that ships AI deployments also builds the governance layer and shapes the vertical platforms — combining the speed of experimentation with the rigour of enterprise software engineering.

STAGE 01

Discover

Identify the business problem, users, workflows and value drivers.

STAGE 02

Prototype

Rapid POCs and AI workflows to test the idea in days.

STAGE 03

Validate

Feasibility, value, security, compliance and operational impact.

STAGE 04

Build

Enterprise software engineering, cloud architecture and DevSecOps.

STAGE 05

Deploy

Production deployment, monitoring, governance and continuous improvement.

The same model ships AI today  ·  runs governance in production  ·  builds the vertical

§ 06 Field
06 Field offices · India, Singapore, UAE, AU, NZ
2025 Founded · A practice of InLogic Technologies
03 Pillars running in parallel · One operating model
∞ Iterations · The Lab never stops compounding

Bring us the problem.

Whether you need AI deployed inside your business this quarter, governance for the agents you've already shipped, or a vertical platform to build on — we'd like to talk.

Start a Conversation → Browse the Sprint Catalogue

Available across · Chennai · Hyderabad · Singapore · Dubai · Melbourne · Auckland