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Nexus Accelerator ยท AI-Powered Development

AI answers your team can trust

We build one agent for one defined job, on top of the data and documents you already have, on the AI platform that fits your stack. It answers with citations, respects who is allowed to see what, and comes with a dashboard that shows how it is used.

Request a scoping callSee what's included
Who it's for

A strong fit if you want

  • An AI pilot ready to move into daily use.
  • AI licenses your people use for real work.
  • A clear measure of how often your assistant is right.
  • Answers that respect who can see what.
What you get

Running in production

Included

  • One agent in Teams, Slack or your portal, built on Copilot Studio, Amazon Bedrock, Vertex AI, Databricks or Snowflake Cortex
  • Grounding in your semantic models, lakehouse tables and approved documents
  • Citations on every answer and a refusal when evidence is missing
  • Access controls so each user only gets answers from data they can see
  • Accuracy measured on 50 real business questions
  • A usage and quality dashboard for after launch

What success looks like

  1. The agent answers your team's real questions accurately, with sources.
  2. Each user only gets answers from data they are allowed to see.
  3. Your team uses it every week.
Week by week

Four weeks, start to finish

Every week ends with a short review of progress.

  1. Step 1: Week 1: Job and test set

    Agree the job the agent does, collect 50 real questions from the people who will use it, and write the correct answers.

  2. Step 2: Week 2: Build and ground

    Connect the agent to the data and documents, set up citations and refusal rules, and run the test set for the first time.

  3. Step 3: Week 3: Access and accuracy

    Apply access controls, fix the questions it gets wrong, and tune accuracy on the question set.

  4. Step 4: Week 4: Launch and measure

    Release to named users, switch on the usage and quality dashboard, and hand over the test set for future changes.

Start smaller

A first phase

Examples

What this looks like

Example scenarios from the industries we know best.

Healthcare operations

Managers ask about staffing levels and policy rules in their chat tool and get answers with links to the source, while patient-level data stays out of reach.

Retail

Regional managers ask why margin moved in their stores and get an answer built on the certified sales model, with the figures it used.

Other accelerators

Each accelerator makes the next one easier

All accelerators

Reliable Pipelines

Data loads on schedule, and a failure alerts the right person in minutes.

Part of

Data Engineering

Governed Data

Core datasets are findable, owned, protected and trusted.

Part of

Data Governance

Trusted Semantic Models

The same question gets the same answer in every report.

Part of

Reporting & Analytics

Talk to us about One AI Agent in Production

Tell us which team would use the agent and the questions they ask most often.

Request a scoping callinfo@nexusbi.com