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The Readiness Assessment

A 5-day engagement that maps your data, surfaces high-ROI AI candidates, and recommends a pilot — fixed price.

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Case study
Tier-1 bank cuts reconciliation 92%

Agentic reconciliation across 14 source systems — six-week pilot, full rollout in one quarter.

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New
Private AI on dedicated GPUs

Frontier-class models on isolated infrastructure — your data never leaves the perimeter.

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Latest
Field notes: agentic eval at production scale

How we ship and operate eval harnesses for systems running ten-million-plus actions a month.

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Founder
Rohit Wakode — Founder & Director

B.Tech IIT Bombay · LLB GLC Mumbai. Building intelligent enterprise systems in India since 2014.

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Solution · 02

Enterprise AI Copilots

Domain-grounded copilots that work the way your team already works — connected to your data, scoped by your permissions.

RAGEval-drivenRBACCitations

A copilot is only useful if it answers from your reality — your policies, your tickets, your contracts — and only shows each user what they’re allowed to see. Generic chatbots fail on both counts. We build copilots grounded in your corpus with access control enforced at the row.

Every answer is cited back to source, freshness is guaranteed, and the system is tuned to refuse rather than hallucinate when it doesn’t know. We measure answer quality continuously, not once at launch.

WhatDomain-grounded assistants connected to your data, scoped by your permissions.
Best forKnowledge-heavy teams: support, sales, legal, engineering, ops.
RunsEmbedded in Slack, Teams, your app, or ERP screens.
Time to valuePilot in 4–6 weeks.
01 — Capabilities

What we build.

Specific, production-grade capability — not a feature checklist.

/ 01

Grounded answers with citations

Hybrid retrieval over your structured and unstructured data; every response links to its source.

/ 02

Row-level access control

Users only ever retrieve what their identity permits — enforced in retrieval, not just the UI.

/ 03

Embedded where work happens

Slack, Teams, web, IDE, or directly inside ERP/CRM screens via deep links.

/ 04

Refusal calibration

Tuned to say “I don’t know” and route to a human rather than invent an answer.

/ 05

Feedback loop

Thumbs, corrections, and analytics flow into evals so the copilot measurably improves.

/ 06

PII handling

Redaction, query logging, and audit trails designed for regulated environments.

02 — How it works

From your problem to production.

01

Connect the knowledge

02

Ground & cite

03

Scope & secure

04

Measure & improve

STEP 01

Connect the knowledge

We index your documents, tickets, wikis and databases with the right chunking and access metadata — without moving data out.

STEP 02

Ground & cite

Hybrid retrieval + reranking returns the right passages; the model answers strictly from them, with citations.

STEP 03

Scope & secure

Identity-aware retrieval enforces per-row permissions; PII is redacted and every query is logged.

STEP 04

Measure & improve

An eval set tracks accuracy and refusal quality; user feedback closes the loop in production.

03 — Where it pays

Use cases.

Customer support deflectionSales enablement & RFP answersPolicy & HR self-serviceEngineering / code knowledgeLegal & contract Q&AField-ops procedure lookup
04 — Engineering

Stack & standards.

Retrieval
pgvector / Qdrant
Hybrid BM25 + dense
Learned reranking
Freshness windows
Models
Open-weight + commercial
Eval-driven selection
Function calling
Governance
RBAC at retrieval
PII redaction
Query audit logs
Citations
05 — Outcomes

What good looks like.

Cited
Every answer sourced
Users trust it because they can verify it.
Scoped
Zero data leakage
Access enforced in retrieval, not bolted on.
Measured
Quality tracked daily
Eval set + feedback, not a one-off launch.
06 — Questions

Answers, before you ask.

Will it hallucinate?
We ground answers in retrieved passages, require citations, and tune refusal so the copilot declines when evidence is weak. We track this with an eval set in production.
Can it respect our permissions?
Yes — access is enforced at retrieval time against the user’s identity, so two users asking the same question see only what each is authorised to see.
Which tools can we embed it in?
Slack, Teams, your web app, IDEs, and ERP/CRM screens. We meet your team where they already work.
Ready when you are

Put Enterprise AI Copilots into production.

Start with a fixed-price 5-day Readiness Assessment or a 6-week pilot. Senior engineers, measurable evals, and a system you own on handover.

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