AI & intelligent automation

AI where it earns its place in the workflow.

AI readiness, Microsoft 365 Copilot, workflow automation, document processing, AI agents, private language models and AI governance. Santre finds the processes worth automating and measures whether the automation works.

We baseline one workflow and outline a measurable pilot.

Overview

Artificial Intelligence & Intelligent Automation

Santre's AI and intelligent automation service helps Canadian businesses apply AI to specific workflows and measure the result. It covers AI readiness and use-case assessment, Microsoft 365 Copilot deployment, workflow automation, document extraction and classification, retrieval-augmented generation (RAG) over company knowledge, AI agents and voice agents, private or self-hosted language models, and AI governance and acceptable-use policy. Every project starts with a baseline — time, cost or error rate — so the outcome can be compared against it.

Who it is for

  • Teams spending hours on repetitive document or data-entry work
  • Organizations deciding whether Copilot is worth the licences
  • Businesses that want AI answers grounded in their own documents
  • Leaders who need an AI policy before staff adopt tools on their own

What’s included

Practical AI, measured against a baseline.

Readiness and strategy

Identify where AI helps, where it does not, and what data and policy must be in place first.

  • AI readiness and use-case assessment
  • AI acceptable-use policy and governance
  • Data and permission readiness
  • Pilot design and success measures

Copilot and assistants

Roll out Microsoft 365 Copilot and other assistants to the people who will get value from them.

  • Microsoft 365 Copilot readiness and rollout
  • Copilot Studio agents
  • Prompt libraries and training
  • Usage and value reporting

Automation and agents

Automate multi-step processes, with people approving the steps that need judgement.

  • Workflow automation
  • Document extraction and classification
  • AI agents and multi-agent workflows
  • AI voice agents for calls
How it works

Automations include human-in-the-loop checkpoints for decisions such as approvals or customer-facing replies, with logs of what the AI proposed and what was accepted, so accuracy can be reviewed over time.

Private and grounded AI

Answers drawn from your own content, with controls over where data goes.

  • Retrieval-augmented generation (RAG)
  • Private and self-hosted language models
  • Model evaluation and fine-tuning
  • Access-aware knowledge search

When to consider it

Signs it is time to act

  • Staff re-type information from PDFs, emails or forms
  • People are already pasting company data into public AI tools
  • You bought Copilot licences and usage is low
  • Answers to routine questions live in documents no one can find
  • Leadership wants an AI plan but not an experiment with no measure

How Santre delivers it

A clear process from first review to ongoing care

  1. Baseline

    Measure the current process: volume, time, cost and error rate.

  2. Pilot

    Build a focused pilot with a small group and clear success criteria.

  3. Measure

    Compare pilot results with the baseline and review accuracy and risk.

  4. Scale

    Roll out what worked, with monitoring, governance and user training.

Scope

Technologies and boundaries

Platforms commonly in scope

  • Microsoft 365 Copilot and Copilot Studio
  • Azure OpenAI and Azure AI services
  • Large language model APIs
  • Self-hosted open models
  • Vector search and RAG frameworks
  • Power Automate and workflow tools

Where this service ends

AI depends on clean data and correct permissions, which Data & BI and Cloud & Microsoft prepare. Santre Stack's Intelligent Document Solutions offer ready-made document AI; custom automation is scoped here.

Frequently asked questions

Questions about AI & Automation

Start with a repetitive, measurable process — invoice processing, intake forms, routine customer questions — and a clear baseline. A small pilot with defined success criteria shows value or failure quickly and cheaply.

It depends on the tool and its configuration. Enterprise services such as Microsoft 365 Copilot and Azure OpenAI include contractual data-protection terms; public consumer tools may not. Santre helps choose tools, configure access and write an acceptable-use policy so company data stays where it should.

For people who spend much of their day in email, documents, meetings and Teams, it can save meaningful time; for others, less so. A measured pilot with a defined user group is the reliable way to decide before buying licences for everyone.

A private language model runs in an environment you control — your cloud tenant or your own hardware — instead of a shared public service. It suits organizations with strict data-handling requirements, at the cost of more setup and maintenance.

Find the process worth automating first.

We baseline one workflow and outline a measurable pilot.

Prefer to talk first? Call (888) 652-3358 or email enquiries@santre.ai.