Enterprise AI that your
organisation actually adopts
Gemini is the most capable AI built natively into the tools your teams already use. Dataneers makes it real — governed, secure, and embedded into workflows that move your business, not just your inbox.
What a Dataneers Gemini deployment covers
Licences are the beginning. Governed, adopted AI is the outcome.
- Gemini for Workspace rollout & licence management
- Data governance & DLP configuration for AI outputs
- Gems & custom AI agent development
- NotebookLM Enterprise deployment for knowledge teams
- Vertex AI integration with internal data sources
- AI-readiness audit — people, process & security
- Responsible AI policy & acceptable-use framework
- Ongoing adoption measurement & optimisation
Most Gemini deployments fail quietly — not from technology, but from governance gaps and adoption that never lands.
We have seen organisations activate Gemini for Workspace and watch weekly active usage plateau below 20% within a quarter. The technology works. What fails is the absence of data boundaries, the lack of role-specific prompt libraries, and change programmes that confuse a licence with a transformation. Dataneers fixes the entire chain — from security posture to the moment a CFO stops reaching for PowerPoint and asks Gemini instead.
Where Gemini moves the needle
Certified Google Cloud engineers with deployment experience across banking, manufacturing, and logistics — we know which AI use cases deliver measurable ROI in regulated Indian enterprises, and which ones look good in demos but stall in production.
AI-assisted synthesis across your document estate
NotebookLM Enterprise connects to your Drive, SharePoint, and internal wikis — letting analysts, legal, and strategy teams interrogate thousands of documents in seconds. Dataneers configures data boundaries so AI never crosses compliance lines.
Gemini Code Assist across your engineering org
We deploy and govern Gemini Code Assist at scale — connecting it to your internal repositories and coding standards, setting IP indemnification policies, and measuring the actual velocity uplift per squad.
AI agents trained on your support and policy data
Custom Gems built on your knowledge base — handling tier-1 support, policy lookups, and onboarding flows. Dataneers architects the retrieval pipeline, tests hallucination risk, and keeps humans firmly in the loop.
Gemini in Sheets, Docs & Meet for leadership teams
From board-pack summarisation to real-time meeting intelligence — we train your leadership teams on Gemini workflows that actually stick, and measure adoption weekly until it does.
From readiness audit to measurable ROI
A structured four-phase approach that has delivered 92% weekly active usage across enterprise Gemini deployments — compared to an industry average below 30% for self-managed rollouts.
AI Readiness Audit
We assess your data posture, existing Workspace configuration, compliance requirements (DPDP, SEBI, RBI), and organisational appetite. You get a written findings report before a single licence is activated.
Governance & Security Baseline
DLP rules, output logging, data region controls, and acceptable-use policies — configured before your users ever touch Gemini. AI safety is architecture, not an afterthought.
Phased Rollout with Champion Networks
We identify power users in each business unit, train them first, and let organic advocacy do the heavy lifting. Adoption compounds through trust, not mandates.
Measurement & Continuous Optimisation
Weekly adoption dashboards, prompt effectiveness scoring, and quarterly business reviews — so you can demonstrate AI ROI to your board with real numbers.
AI that meets Indian regulatory requirements — by design
Gemini deployed without governance is a liability. We configure data residency, output logging, and acceptable-use controls before a single user touches the product. Our compliance framework is built for the specific regulatory landscape Indian enterprises operate in — not adapted from a US or EU template.
- DPDP (Digital Personal Data Protection Act) alignment
- SEBI & RBI data residency and audit trail requirements
- IRDAI guidelines for AI use in insurance workflows
- ISO 27001 and SOC 2 compatible configuration
- Output logging and eDiscovery-ready AI audit trails
- Human-in-the-loop guardrails for regulated decisions
Ready to move beyond the Gemini demo?
Our AI Readiness Audit maps your data posture, compliance requirements, and highest-value use cases — then produces a deployment roadmap your CTO and CFO can both sign off on. No charge. Two-week turnaround.