01
Build it into the work
AI beside the job gets abandoned. AI inside the ticket queue, the invoice run or the approval path gets used.
The AI company of the Dhanesh Indore group
Intelligence where the work is.
DimenAI builds AI into the operations you already run. Inside the ticket queue, the invoice run, the approval path. Deployed where your data lives, and accountable for it after go-live.
Budgets were approved. Pilots ran. Then usage collapsed.
The assistant could not reach any system of record. Nobody owned it after launch. No one agreed what success looked like.
Most enterprise AI never reaches the work. We exist to close that gap.
02
Deploy it where the data lives
When contracts, HR records or customer data are involved, the model runs on your infrastructure.
03
Stay after go-live
We measure what it handles, what it hands back and what it gets wrong, and keep doing that.
Twelve services, four practices.
Each practice is something we build and run, not a capability we list.
Agents and Conversational AI
Agents and multi-agent systems. Enterprise AI assistants. Enterprise search and knowledge management.
ExploreDocument and Process Intelligence
Intelligent document processing. Contract and compliance review. Workflow and process automation.
ExploreAI Platform and Operations
Private and on-prem LLM deployment. AI security. Data engineering for AI.
ExploreAdvisory and Adoption
AI readiness and roadmap. Governance and responsible AI. Adoption and change management.
ExploreAnything touching SAP belongs to TechOrbit, the group's enterprise technology firm. If that is what you need, we will make the introduction.
The mechanism is the point.
We show the retrieval, the guardrail, and where a person stays in the loop.
- Your systemsThe ERP, the ticket queue, the file store, the contract archive.
- RetrievalThe system finds the records that answer the question, and cites them.
- ModelFrontier models, or an open model on your own hardware when the data demands it.
- GuardrailA defined action set, a confidence threshold, and a logged trail of both.
- ActionThe invoice posts, the ticket routes, the answer lands where the work happens.
A person stays in the loop wherever being wrong is expensive. Anything under the confidence threshold goes to a human, and the threshold is yours to set.
What we measure.
ContainmentHow much the system handles end to end, and how much it hands back.
AccuracyMeasured per field and per document type, not as one headline figure.
Latencyp95 response, measured against the public API baseline it replaces.
Use at week 12Active users three months in, against the week the thing launched.
We run it on ourselves first.
DimenAI is the AI company of the Dhanesh Indore group. Before a system is sold outward it runs inside the group's own operations, on the group's own data, against the same measures we would report to you.
We build and we run. An engagement here ends with something in production or a decision formally recorded, and we stay on it after go-live rather than handing over a document.
If you want a partner who builds the thing, runs it where your data lives and stays accountable for it after go-live, start a conversation.
Impact shows up in ordinary places. The invoice that clears the same day. The engineer who stops copying numbers between two screens. The customer who gets an answer before asking twice. If the work has not changed, nothing has been built.Dhanesh Indore/Founder, The Dhanesh Indore Group
Tell us where the work is.
One conversation, no pressure. We will tell you what we would build, and what we would not.
Talk to us