Service · AI Agents
Put an AI workforce behind the repetitive work eating your team's time.
We design and deploy AI agents on Microsoft Copilot Studio, Azure AI Foundry and Microsoft 365 Copilot — grounded in your business data, governed by your tenant, working around the clock across email, documents, approvals and customer queries.
What it is
AI agents are software employees — built on infrastructure you already own.
An AI agent is a piece of software that can understand a goal, reason about it using a large language model, ground its answers in your business data, and take real actions — call APIs, update records, send emails, raise approvals — without a human driving every click.
The hype around AI is loud. The reality, for businesses we work with in South Africa, is simpler: Microsoft has quietly built a full agent stack on top of the licensing you already pay for. Microsoft Copilot Studio for low-code agents, Azure AI Foundry for engineered ones, and Microsoft 365 Copilot to surface them inside Teams, Outlook and Word.
We don't sell chatbots. We identify the repetitive, rules-driven work consuming staff time, then deploy agents that handle that work end-to-end — with the right guardrails, evaluations and human-in-the-loop fallbacks so the business can actually trust the output. Closely paired with Power Automate for orchestration and Power Apps for the human surface.
Three platforms · one Microsoft stack
We pick the right platform for the agent
Microsoft's AI estate is broad — and easy to over-engineer. We choose the platform that matches the maturity of your use case.
Microsoft Copilot Studio
Low-code agents for business teams
Best when you need to ship an agent quickly, ground it in SharePoint, Dataverse or websites, and let business users iterate on topics and prompts. Now supports autonomous agents that act on triggers, not just chat.
Azure AI Foundry
Engineered agents on Azure OpenAI
Best when you need fine control over models, vector stores, evaluations and orchestration. We build with the Agent Service, function calling, code interpreter and your own RAG pipelines on Azure AI Search.
Microsoft 365 Copilot
AI inside the tools your team already uses
Best when the goal is to bring agents to where staff already work — Teams, Outlook, Word, Excel. We build declarative agents and Copilot connectors that surface your business data inside M365 Copilot.
Capabilities
What we build with AI agents
Custom Copilot Agents
Purpose-built agents on Microsoft Copilot Studio that handle specific business functions — sales enablement, IT support, HR queries, supplier onboarding — with topics, slots and structured handoff to humans when needed.
Azure AI Foundry Solutions
Production-grade agents on Azure AI Foundry using Azure OpenAI (GPT-4o, GPT-4.1, o-series), embeddings, vector search and the Agent Service — for use cases that need fine control over models, prompts, RAG and evaluation.
Microsoft 365 Copilot Extensions
Extend M365 Copilot with declarative agents and Copilot connectors so your staff can query CRM, ERP, SharePoint, Dataverse or any line-of-business system directly from Teams, Outlook and Word.
Agentic Workflows
Agents that don't just answer — they act. Trigger Power Automate flows, update Dataverse, send approvals, raise tickets and orchestrate multi-step business processes autonomously.
Document & Email Intelligence
Classify incoming email, extract structured data from invoices and POs, summarise long documents, route quotes for approval, answer FAQs from a curated knowledge base — all grounded in your tenant content.
Responsible AI & Governance
Tenant-scoped data, Microsoft Purview DLP, content safety filters, prompt shields, audit logs and clear escalation paths to human reviewers. Your AI behaves the way your compliance team needs it to.
Microsoft Copilot Studio
Custom agents, governed by your tenant
Copilot Studio is Microsoft's low-code studio for designing agents. We model conversation topics, ground them in your SharePoint sites, Dataverse tables, public websites and uploaded documents, then wire in tools — Power Automate flows, MCP servers, custom connectors and Azure OpenAI prompts — so the agent can act, not just answer.
- Autonomous agents triggered by events — new email, new record, schedule — not just chat
- Multi-channel deployment — Teams, your website, WhatsApp, custom applications
- Knowledge grounding from SharePoint, Dataverse, websites, files and any enterprise system via connectors or MCP
- Enterprise security — Entra ID auth, DLP policies, audit logs, Purview integration
Azure AI Foundry
Production-grade agents with engineering control
When the use case needs more than a low-code studio can provide, we build on Azure AI Foundry — Microsoft's pro-developer platform for agentic applications. Pick the right model (GPT-4o, GPT-4.1, o-series, fine-tuned variants), build retrieval pipelines on Azure AI Search, orchestrate multi-step reasoning with the Agent Service, and evaluate quality systematically before production.
- Azure OpenAI Service — frontier models hosted in your own Azure region, with no data leaving your tenant
- RAG on Azure AI Search with vector and hybrid search, semantic ranking and document chunking strategies tuned to your content
- Agent Service with function calling, code interpreter, file search and multi-agent orchestration
- Evaluation & tracing — measure groundedness, relevance, fluency and safety before agents touch production traffic
Grounding & responsible AI
An agent is only as trustworthy as what it knows
The single biggest reason AI projects fail is bad grounding — the agent confidently invents an answer because nobody gave it the right source of truth. We treat grounding as a first-class engineering problem: which documents, which permissions, how chunked, how retrieved, how cited, how evaluated. And we wrap it in Microsoft's responsible AI controls so the business can actually deploy it.
- Tenant-scoped data — your content never leaves your Microsoft boundary, and is not used to train foundation models
- Permissions honoured — the agent only sees what the requesting user is permitted to see in SharePoint, Dataverse and OneDrive
- Content safety filters, prompt shields and jailbreak detection on every request and response
- Citations & audit — every answer links to its source, every action is logged, every conversation is reviewable
24/7
Agents don't sleep, don't take leave and don't drop tasks between shifts.
Minutes → seconds
Document classification, email triage and quote extraction collapse from minutes per item to seconds.
Zero new infra
Built on the Microsoft licensing you already pay for. No third-party SaaS, no shadow IT.
How we work
A grounded engineering process, not a demo
01
Identify the right use case
Not every problem needs AI. We start by mapping repetitive, rules-driven work that consumes meaningful staff time — and weed out the ones better solved with deterministic automation.
02
Ground and design
We design the agent's knowledge sources, topics, tools and guardrails. We define what 'good' looks like with evaluations and a measurable success criteria before we write a line of orchestration.
03
Build and evaluate
We engineer the agent on your Microsoft tenant, connect it to the right data and actions, and run evaluation suites — accuracy, groundedness, latency, cost — before it ever speaks to a real user.
04
Deploy with humans in the loop
Roll out to a pilot group with monitoring, feedback capture and clear human-in-the-loop fallbacks. We tune, expand and harden — AI agents are a product, not a project.
Use cases
Where AI agents are paying back today
- Tier-1 IT helpdesk agent answering staff queries from your SharePoint knowledge base
- Sales enablement agent that drafts proposals, pulls case studies and answers RFP questions
- Supplier onboarding agent that collects documents, validates BBBEE and tax compliance, raises Dataverse records
- Quote and order intake agent that reads inbound email, extracts line items and routes for approval
- Invoice processing agent that extracts header and line data, matches to PO and posts into your ERP
- Customer support triage agent on your website with handoff to a live consultant when needed
- HR onboarding agent that walks new hires through policies and provisions Teams, M365 and access
- Internal research agent grounded in your contracts, SOPs and historic project archives
Better together with the rest of the Power Platform
AI agents are most powerful when they can act, not just talk. We pair them with Power Automate for orchestration, Power Apps for human review surfaces, and Power BI & Fabric for measuring whether the agent is actually moving the metric it was built to move.
Got a repetitive process that's screaming for an agent?
Free, no-obligation use-case workshop. We'll tell you honestly if AI is the right tool — or if a simple flow will do the job.