BD-S

Microsoft practice ยท AI & Copilot

Build your frontier organisation with Microsoft Copilot and agents

A frontier organisation is one where people work alongside AI assistants and agents to get everyday work done better. BD-S connects your people, your organisational knowledge and your business systems through Microsoft AI, from the first useful opportunity through to deployment, agents and adoption. This is the broader Microsoft AI offering, not Microsoft's Frontier early-access programme for preview Copilot features.

Business outcomes

Start with work worth improving

The best place to start is work that already costs time, not a technology. BD-S helps you find those opportunities and rank them by value, feasibility and risk, so the first thing you deploy is worth deploying.

Finding trusted information

Staff spend hours searching policies, procedures, case notes and past decisions. Copilot and agents grounded in approved sources answer from the right content with permissions respected.

Preparing documents and submissions

Briefs, submissions, correspondence, reports and meeting summaries drafted from your own material, then reviewed and finished by the person responsible.

Supporting service teams

Case summaries, suggested responses, next-step guidance and knowledge at hand for contact centre, service desk and front-line staff.

Automating repeatable processes

Intake, triage, classification, data entry and routine follow-up handled by agents, with people approving the steps that need judgement.

What we deliver

Microsoft AI capabilities

Microsoft 365 Copilot

Assistance inside Teams, Outlook, Word, Excel and PowerPoint, licensed per user. BD-S backs it with tenant readiness, role-based use cases, training, champions and measurement so it changes how work gets done.

Copilot Studio agents

Agents grounded in your organisational knowledge, with approved actions and governed connections to business systems, published where people already work.

Microsoft Agent 365: visibility and control

BD-S helps you establish visibility and control over your AI agents using Microsoft Agent 365 and connected Microsoft services. Define ownership, review access, manage agent lifecycles and monitor activity as adoption grows.

Dynamics 365

AI-assisted sales, customer service and operational workflows where you already run them in Dynamics 365, with Copilot features confirmed against your licences.

Azure AI and Microsoft Foundry

Custom AI applications and engineering on Microsoft Foundry (formerly Azure AI Foundry), Azure OpenAI and Azure AI Search for requirements beyond packaged capabilities.

Data and security foundations

Permissions, sensitivity labels, information protection, data quality and governance in Entra, Purview and SharePoint, so what AI can see is what it should see.

Built into delivery

Governance, cyber security and cost control

Scaling AI means knowing which agents are operating, what they can access, who is accountable and what they cost. BD-S helps establish the controls and ongoing oversight needed to expand with confidence. Platform controls are configured in your tenant. Assessment, reporting and reviews are BD-S services.

Agent governance

Agent 365 gives you a registry of the agents in your tenant, basic governance actions such as approve, block, assign and reassign owner, and rule-based lifecycle automation. Policy templates, tool controls and activity observability need Microsoft 365 E7 or the Agent 365 add-on, so licensing is confirmed before the design relies on them.

  • Assess: inventory of agents already in the tenant, including ones built without IT involvement, with an accountable owner named for each
  • Implement: approval process, permitted actions and knowledge sources per agent, and human oversight points for agents that act
  • Configure: lifecycle rules so unused or unowned agents are flagged, reviewed and retired rather than left running
  • Review: a standing agent register and approval forum so the inventory stays current as teams build more

Cyber security and data protection

Agent 365 extends Microsoft Entra, Purview and Defender to agents where your licences include it: Entra for agent identities, access packages and Conditional Access; Purview for sensitivity labels, DLP, audit and interaction visibility; Defender for misconfiguration, exposure and suspicious activity detection.

  • Assess: current identity, information protection and threat monitoring posture against the agents you plan to run
  • Implement: least-privilege access, agent identities and sensitive information protection configured in Entra and Purview
  • Test: security testing of agents before release, including prompt injection, data exposure and over-permissioned actions
  • Operate: threat monitoring in Defender and an incident response plan that covers agents, reviewed with your security team

Cost and consumption management

Copilot Studio agents consume Copilot Credits from prepaid packs or pay-as-you-go through an Azure subscription, with consumption reporting and per-agent monthly limits in the Power Platform admin centre. Azure budgets and alerts notify you when spend passes a threshold. They do not stop consumption, so oversight has to be a routine, not a setting.

  • Assess: licensing review across Microsoft 365 Copilot, Copilot Studio, Agent 365 and Azure AI against the use cases that need them
  • Configure: credit and Azure consumption monitoring, budgets and alerts where the platform supports them, and per-agent limits for prepaid capacity
  • Allocate: costs attributed to teams or use cases through environments, billing plans and tags so owners can see what they spend
  • Review: unused licences, over-provisioned capacity and inefficient agent designs identified and corrected on a regular cadence

Value and ongoing assurance

Scaling is a decision that should be made on evidence. Every pilot starts with success measures agreed with the business owner, and the same measures carry into operation so you can see whether the value is holding up as usage and spend grow.

  • Track adoption, output quality, turnaround and rework against the baseline for each use case
  • Report cost per useful outcome, so a busy agent and a valuable agent are not confused
  • Review permissions, agent behaviour and spending on a schedule and whenever requirements change
  • Feed issues, corrections and lessons back into the next iteration and the next use case

How BD-S helps

From strategy through to ongoing support

  • Advisory

    Use-case discovery, prioritisation by value, feasibility and risk, readiness and licensing assessment and a roadmap.

  • Engineering

    Copilot extensions, Copilot Studio agents and custom AI applications built, tested and documented to production standard.

  • Integration

    Agents and AI services connected to Dynamics 365, Dataverse, Microsoft 365 content and line-of-business systems through approved actions.

  • Governance and security

    Assessment of your agent, identity, data protection and threat monitoring posture, then the controls implemented in Agent 365, Entra, Purview and Defender with reporting configured for the people who own the risk.

  • Adoption

    Training, champions, prompt patterns and communications so new ways of working take hold.

  • Managed services

    Monitoring, support and knowledge refresh for Copilot and agents, plus scheduled reviews of permissions, agent behaviour, licences and consumption with optimisation delivered from the managed service.

How BD-S delivers

A practical progression, with people in the loop

  1. Step 1: Discover and prioritise

    Workshops with the people doing the work to find candidate use cases and rank them by value, feasibility and risk.

  2. Step 2: Assess readiness

    Data, permissions, security and licensing reviewed against the shortlist, with remediation before anything is switched on.

  3. Step 3: Pilot with measures

    A focused solution for one team or process, with success measures, test sets and human review points agreed up front.

  4. Step 4: Deploy and embed

    Staged rollout, training and support so the new way of working becomes the normal way of working.

  5. Step 5: Monitor and improve

    Usage, quality and risk reviewed on a cadence, with the next use cases picked from the evidence.

Bring us a workflow, not a wish list

Tell us about one process, team or business challenge where time is being lost. We will help you work out whether Copilot, an agent or a custom AI service is the sensible first step, and what it would take to get there safely.