Enterprise AI Enablement

Intelligence, built into the systems you already run.

Finance to factory floor. Every system ships with its evals and a cost ceiling.

Book a discovery call See the eleven domains

The CNE lettermark as an anodised plate with a lit lens-blue arm

Where the layer goes in

Eleven domains. One measured method.

Not one product for everyone: one method, applied to the workflow that matters in each domain, with the eval and the cost that domain cares about.

01Finance and taxGST input-credit reconciliation, every mismatch explained 02HR and hiringHandbook and leave-policy answers with the clause cited 03Legal and contractsContract clauses flagged against an expert-labelled benchmark 04Operations and supply chainShipment exceptions read, checked, fixed after approval 05Retail and e-commercePhotos and thin titles into complete listings 06Manufacturing and safetyLine stoppages explained across notes, tickets and assets 07Healthcare and clinicsPatient messages into structured triage summaries 08Agriculture and agri-inputPrice and crop questions answered in three languages 09Professional servicesFirm memos into an assistant that says when unsure 10Public sectorComplaints classified, routed and acknowledged in the citizen's language 11Engineering platformsThe agentic-engineering setup, evals and cost in CI Every domain, with its workflows and what is measured

Products

The tools we run inside every engagement.

Four products, each with its own name, endorsed by CNE Associates. All four are planned; none has shipped. Each starts as a public demo built on the same setup we install for clients, so what you see is what your team gets.

BBenchThe exact agentic-engineering setup we install for clients, as a public repo with a live eval and cost dashboard: fork it, or hire us to install it.planned · by CNE Associates GGateway MeterSend one prompt to three models through our cost gateway and watch price, latency, cache hits and the budget cap behave in real time.planned · by CNE Associates AAgent AutopsySix real ways agents fail in production (loops, cost blow-ups, tool misuse, stale retrieval, prompt injection, silent regressions), replayed from traces, with the fix for each.planned · by CNE Associates RRegression GateWatch a pull request to an AI feature get blocked because the answer quality dropped, then pass after the fix.planned · by CNE Associates

Proof

Every system ships with its evals. Ask the next firm for theirs.

Acceptance is written into the contract as two numbers and a record: the eval bar, the cost ceiling, and the trace.

Eval bar0.92on a golden set of 120

Agreed before the pilot starts. Below the bar, we extend at no charge.

Cost ceiling₹0.42per query at p95

Measured by the gateway. Above the ceiling, the model mix changes, not the invoice.

Trace100%of runs, kept in your tenant

Every step, every tool call, every token. Yours to inspect, ours to answer for.

Example values. Live numbers appear here from the first demo that runs.

First waveBench

Bench Starter

The exact agentic-engineering setup we install for clients, as a public repo with a live eval and cost dashboard: fork it, or hire us to install it.

Ask us to build this first

First waveSustain

Agent Autopsy

Six real ways agents fail in production (loops, cost blow-ups, tool misuse, stale retrieval, prompt injection, silent regressions), replayed from traces, with the fix for each.

Ask us to build this first

First waveShape

Policy Desk

Ask anything about the employee handbook and leave policy; get an answer with the exact clause cited, or an honest "not in the policy".

Ask us to build this first

Work

Built across domains. Named when clients say so.

Five prior projects, described as patterns rather than case studies. Client names and screenshots appear when clients approve; until then each entry says what was built, what was checked and what it ran on.

Finance and taxTalk to your data: plan, query, chart, reporta US software company, since 2024
Engineering platformsAgentic GraphRAG retrieval: graph traversal plus vector searchinternal
Professional servicesDocument digitisation: extraction and transcription from scansa data-and-AI consultancy
Operations and supply chainAgentic process discovery over P2P and O2C event logsa data-and-AI consultancy
Engineering platformsEnd-to-end QA automation for an AI producta US software company, since 2024

Each project, with what was measured

How an engagement runs

The Layer Path.

Five stages, each with one offer and a hard exit criterion. Fixed price after paid discovery, never on a meter.

01 · IdeationSignal“Where would AI actually pay off for us?”Done when
A ranked plan with a go or no-go on every item.
02 · ExplorationShape“Will it work on our data, with our constraints?”Done when
One use case passes its eval bar inside its cost ceiling, in your tenant.
03 · ImplementationShip“Get it into production without breaking anything.”Done when
In production with monitoring, a runbook and a trained team.
04 · ScaleScale“Now do it for five more workflows, faster.”Done when
Each new use case ships in half the first one's time.
05 · OperateSustain“Keep it accurate, safe and on budget as models change.”Done when
SLOs on accuracy, cost and latency, reported every week.

BenchCross-cutting, any stage. “Set up our team to build this way ourselves.” Done when: Your team ships its own first evaluated AI system during the engagement.

Durations, prices and terms

People

Senior engineers, on the work.

Anmol JaiswalFounder and CEO

Builds the intelligence layer with the client's own engineers, on Azure, Databricks, Google ADK and the Claude Agent SDK. Has been delivering AI engineering to a US client since 2024.

A strategy deck. A chatbot bolted on the side. A platform licence. A pilot that never ships. A body shop billed by the hour.

Writing