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Nanhi AI Mindforge

No black boxes. A route you can follow.

Four stages with clear owners and written outputs, and something working in front of you early. Here is how an engagement runs, how you can buy it, and how we treat your data.

The four stages.

  1. Discover

    Pick the one problem worth solving first.

    We sit with the people who do the work, map the process and its data, and agree a single measurable outcome. You leave with a written scope, a risk list and a fixed price for what comes next, whether or not you continue with us.

    You receive: Process and data map · Success metric and baseline · Scoped, priced plan

  2. Design

    Decide architecture, guardrails and tests before code.

    Architecture, model and vendor choices, access controls and the evaluation plan are written down and reviewed with your IT and security owners. Nothing is built that your team cannot later operate.

    You receive: Solution architecture · Security and access design · Evaluation plan

  3. Build & integrate

    Ship into your real systems in short, visible increments.

    We work in two-week increments against your actual systems, in your environments, with a demo at the end of each. Approvals and human review are built in wherever money, customers or compliance are involved.

    You receive: Working increments every two weeks · Integration and regression tests · Runbooks and handover notes

  4. Operate & improve

    Measure against the baseline, then keep improving.

    After go-live we monitor quality, cost and the metric we agreed at the start. You can run it yourselves with our documentation, or keep us on under a support agreement with defined service levels.

    You receive: Live quality and cost monitoring · Monthly outcome report · Optional managed support

Ways to work with us.

Start small and expand only when the first piece has earned it.

ModelTypical lengthWhat it is
Discovery sprint2–3 weeksA fixed-price assessment that ends in a written scope, architecture outline and costed plan. Useful on its own, even if you build elsewhere.
Project deliveryTypically 6–20 weeksA defined outcome delivered in milestones, priced fixed or capped. Weekly status reports and fortnightly demos.
Managed serviceMonthlyOngoing support and improvement for Oracle ERP or AI systems under agreed service levels and a shared backlog.
Dedicated teamQuarterlyEngineers and consultants working inside your team and tooling, with our delivery lead accountable for quality.

Security and data handling.

The commitments we make before we see any of your systems.

Confidentiality from the first call
We sign your NDA, or offer ours, before any data or documentation is shared.
Your data stays yours
Client data is processed in your environment or in accounts you control wherever possible. We do not use it to train shared models.
Least-privilege access
Named accounts, the minimum roles needed, time-boxed access and revocation at hand-over.
Model and vendor choice
We recommend providers per use case and data sensitivity, including private and self-hosted models, and document the reasoning.
Everything logged
Agent actions, approvals and integration runs are logged so your auditors can see who or what did what, and when.
Compliance-aware
Designs account for India's Digital Personal Data Protection Act, GDPR and sector rules relevant to your business.

Principles we build by.

Grounded, not guessed
AI outputs are tied to your source data with retrieval, citations and automated evaluations. If the system does not know, it says so.
Runs in your stack
Cloud, hybrid or on-premise, inside your tenancy where possible, integrated with the ERP and tools you already run.
People approve what matters
Approval gates and audit trails come first. Automation earns more autonomy only after it has earned trust.
Measured by outcomes
Every engagement starts with a baseline and a target metric, such as hours saved, days to close or tickets resolved, and reports against it.

Start with a discovery sprint.

A fixed-price way to find out what is worth building, and what it will take, before you commit to more.

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