AI for business
AI agents for business that do real work, with people in control
We build and run AI agents and automations on Microsoft and the systems you already use, for sales, marketing, finance and client services. You decide which steps an agent does alone and which wait for a person’s approval.
We run these agents in our own business every day
Powered by OpenAI, Anthropic, Google or open-source models. Your data stays in your systems.
On this page
AI agent development services, in our own business
The AI agents we run, by department
Every agent below is one we built for our own business, and each is the kind of agent we build and run for clients. You talk to each one in Microsoft Teams. Odoo is our own back end, but your team can connect the systems it already uses and simply work with the agent in Teams. Each agent has specialists for its steps, and its stage and figures come straight from our live systems. Agents act on their own only within rules we set; anything that affects a customer, money, a bid or a candidate is approved by a person, and every action is logged.
Every agent is switched on, budgeted and audited from our AI Command Center, the AI agent orchestration layer that also triages every inbox before the other agents start work.
26% of our business’s work is automated by our agents (measured Oct 23, 2026)
Agents with fewer than 50 tasks are counted at their measured level, but show “Too early to measure” on their own pages.
Sales Proposal Agent
Sales
Finds public-sector bids, prepares and costs them, drafts and reviews each proposal for a person to approve, and records the result.
29%of this agent’s work automated
Sales Inbound Agent
Sales
Handles inbound enquiries, partner referrals and every licence order.
Automation shareToo early to measure
Marketing Agent
Marketing
Researches search demand, drafts the content and prepares website updates; nothing goes live without approval.
43%of this agent’s work automated
Finance Agent
Finance
Keeps the books reconciled and the tax filings on time.
43%of this agent’s work automated
Client Services Agent
Client services
Handles client support tickets and runs cloud assessments.
Automation shareToo early to measure
HR Agent
HR
Onboards and offboards staff and runs hiring.
Automation shareToo early to measure
As of Oct 23, 2026, 22:46 UTC, from our live systems.
What each stage means. In development: being built, not yet doing real work. Built: built and installed, not yet doing real work. Audit mode: works on real cases but only reviews and recommends; nothing it produces is applied. Pilot: doing real work under close watch while we confirm its results. Live: in everyday use on our real work. Paused: switched off for now.
Short answer
Communication Square builds and runs AI agents for business, and the automations around them, on Microsoft: agents in Azure AI Foundry and Microsoft Teams connected to ERP, CRM, helpdesk, websites and Microsoft 365, plus Copilot and Copilot Studio where they fit. Every agent has a pinned model, a daily cost cap, an audit log and an off switch. You decide which steps it may complete on its own and which go to a person for approval in Teams, and every action is logged. A small business can start with one agent on one process; a larger organization adds agents department by department.
What it really is
A chatbot answers. An agent acts, inside your rules.
The value is in agents that change things in your systems. The risk is the same. So every agent we build ships with the same controls.
Your options
Copilot licenses, an AI app, or agents built on your stack
All three can be right. They solve different problems.
| Copilot licenses alone | Off-the-shelf AI app | Agents built on your stack (us) | |
|---|---|---|---|
| Works with your systems | Microsoft 365 data | Its own data | Your ERP, CRM, helpdesk and Microsoft 365 |
| Takes actions | Limited | Inside the app | In your systems, under your approval rules |
| Model choice | Microsoft’s | The vendor’s | OpenAI, Anthropic, Google or open-source models |
| Controls | Tenant settings | Vendor settings | Approval rules, cost caps, audit log, off switch |
| Cost model | Per user | Per user | Fixed-price build, then usage |
Microsoft AI tools
Microsoft 365 Copilot rollout, Copilot Studio and Power Automate
When the Microsoft tool is the right fit, we deploy it with the same controls as our own agents.
Already on Copilot licenses? The free AI readiness assessment is the first step of every rollout.
Our approach
One process at a time, proven before it goes live
- Pick a processHigh volume, clear rules, measurable time saved.
- Build with controlsAgent, approvals, cost cap and audit log in your tenant.
- Shadow modeThe agent proposes while people still do the work.
- Run and measureGo live, then report actions, approvals and savings monthly.
Our promise: an agent only acts on its own where you have decided a step is safe. Everything else waits for a person, and every action is logged.
Data handling
Where your data goes
- Your systems, your data. Agents read and write through your own APIs and Microsoft tenant.
- Model choice stated up front. Agents can be powered by OpenAI, Anthropic, Google or open-source models. OpenAI, Anthropic and open-source models run in Microsoft Foundry on Azure; Google’s Gemini models run on Google Cloud. You see which model is used and where it processes your data before work starts.
- Credentials never with the agent. Access goes through a governed gateway with secrets in Key Vault.
- Everything logged. Runs, tool calls and approvals are recorded for audit.
The offer
Start with a free AI readiness assessment
See what an AI assistant could reach in your Microsoft 365 tenant today, which processes are worth an agent, and what the first one would cost.
Exposure map
What AI could reach today: oversharing and unlabeled sensitive data.
Process shortlist
The three to five processes where an agent saves the most time.
Fixed price
A fixed price for the first agent, built in shadow mode.
- Free, with no obligation
- About one week
- Read-only: nothing changes
- The report is yours to keep
Why free? It is how we scope an agent worth building. If none is worth it yet, we will say so.
How it runs
Day 030-minute call with the engineer who would build it.
Days 1–2Read-only consent to your Microsoft 365 tenant.
Days 2–4Tenant review and process interviews you choose.
Day 5Findings, shortlist and a fixed price.
We reply within one business day.
Read-only Microsoft Graph permissions only, consented by your administrator and revoked at the end. No content leaves your tenant.
Why us
We run these agents every day
Transparent investment
What AI agent development services cost
| Engagement | Typical timeline | Investment |
|---|---|---|
| AI readiness assessment | About one week | Free |
| Copilot Studio proof of concept | 1–2 weeks | $1,997 |
| First agent pilot: one process, shadow mode | 4–6 weeks | $14,900 |
| Production agent with integrations and approvals | 6–10 weeks | $24,900–$49,900 |
| Managed AI operations | Monthly | From $1,900 a month |
Want a figure for your organization? Get an estimate in 2 minutes with our pricing calculator.
Model usage is billed at cost and capped per agent per day.
Read next
Guides: AI agents for business
What is an AI agent? 5 differences from a chatbot
What is an AI agent? A simple guide to how agents work, 5 key differences from a chatbot, and the guardrails that keep people in control.
Questions buyers ask
Before you decide on AI agents for business
Which AI models do you use?
The one that fits each task: OpenAI, Anthropic, Google or open-source models. OpenAI, Anthropic and open-source models run in Microsoft Foundry on Azure, and Google’s Gemini runs on Google Cloud. Each agent is pinned to a model tier so cost and behavior stay predictable.
Will our data be used to train models?
No. Your data is never used to train AI models. Microsoft’s terms for models in Microsoft Foundry, Anthropic’s commercial terms and Google Cloud’s terms all exclude training on your prompts and outputs.
Do we need Microsoft Copilot licenses?
No. Agents run in Azure and Teams without Copilot licenses. Where Copilot or Copilot Studio is the better fit, we use it.
Copilot Studio or a custom agent on Azure?
Copilot Studio suits agents that mostly answer from Microsoft 365 and SharePoint and need little custom logic. A custom agent on Azure suits work that writes to your ERP, CRM or helpdesk, needs a specific model, or must run at high volume. We recommend one per process.
Do you build Power Automate workflows?
Yes. Simple approvals and document routing stay in Power Automate. When a step needs judgment, such as reading a document or deciding where a ticket goes, we add an agent to that step.
What if an agent gets something wrong?
Steps you have not cleared for automation wait for a person, who catches mistakes at approval. Steps that run on their own are logged and reported, error rates included, and any agent can be switched off in one step.
Put your first agent to work
Start with a free AI readiness assessment and a fixed price for the first agent.
