Not Every Problem Needs an Agent
We see companies jumping to "AI agents" when a simple automation would work better. Here's how we think about it:
If your process is predictable → Chain
- Steps are always the same
- Decisions are rule-based
- Example: Invoice → Extract → Validate → Save
If your process depends on input type → Router
- Different inputs need different handling
- Classification drives the workflow
- Example: Email → Classify → Route to right team
If your process requires judgment → Agent
- Decisions depend on context
- Requires planning and adaptation
- Example: Research → Analyze → Recommend → Iterate
The goal isn't maximum AI. It's maximum reliability.
What We Actually Do
We don't start with AI. We start with your reality.
Understand Your Reality First
We don't start with AI. We start with your workflows, your data, your team.
- •What systems do you use? (CRM, M365, custom tools)
- •Where is your context scattered?
- •What decisions need human judgment vs. automation?
Design the Context Engineering
Before any code, we design how information flows:
- •What does the agent need to know?
- •When does it need to know it?
- •Where does that information live today?
Build Incrementally
We don't deliver a "big bang" AI system.
- •Start with one workflow
- •Prove it works in YOUR environment
- •Expand from there
Human Checkpoints Built In
For decisions that matter:
- •The agent stops and presents its recommendation
- •You approve, reject, or adjust
- •Trust grows gradually
You Own Everything
No vendor lock-in. No black boxes.
- •Code is yours
- •Runs on your infrastructure
- •We teach your team how it works
The agent proposes.You approve.
There are decisions an agent shouldn't make alone. Send an email to a client. Make a payment. Delete data. Commit to something.
For these situations, the agent stops. It presents the decision. And waits. The agent is autonomous for 95% of tasks, but a human supervises the 5% that matters.
"Total autonomy is a myth — and a risk. The best agents know when to act and when to ask."
The agent can be aggressive
Because there's a safety net, it can try more things without real risk.
Trust grows gradually
Start with many checkpoints, reduce them as you gain confidence in the system.
Errors caught before they happen
Not 'the agent sent a weird email' but 'the agent wanted to send this, we said no.'
No timeout pressure
The agent can wait 5 minutes or 5 days — its state stays preserved until you respond.
M365 Integrations We've Actually Built
Real examples of how we connect AI agents with Microsoft tools your team already uses.
Power Automate + AI Agents
Trigger AI agents from Power Automate flows, or embed agents as steps within your existing automations.
Dynamics 365 Integration
AI agents that read from and write to your CRM — lead scoring, customer insights, automated follow-ups.
Microsoft 365 Context
Pull context automatically from Teams conversations, Outlook emails, SharePoint documents. No manual input needed.
Dataverse & Business Data
AI that reads your inventory, orders, and customer records directly from Dataverse or any data source. No manual exports.
Email Classification Router
Power Automate detects incoming emails → LLM classifies intent and extracts meaning → Routes to the right folder → Forwards to the appropriate team
Purchase Request Agent
Employee submits request via UI → LLM analyzes against company rules → Power Automate handles approval workflow → Updates database and notifies responsible person
Sales Call Preparation
Before a call, the agent pulls the client's email history, open invoices, and recent Teams mentions — all in one view, ready in seconds
Your Data Stays Yours
We don't handle your data — we help you use it better, on your own infrastructure.
Data stays on your servers
We build systems that run on YOUR infrastructure. Your data never leaves your environment.
GDPR by design
Every solution is engineered with GDPR compliance built in — not bolted on as an afterthought.
We help you stay compliant
Through extensive engineering and legal comprehension, we ensure your new AI systems meet all regulatory requirements.
No data lock-in
You own everything. Code, documentation, systems. We build for your independence, not our dependency.
Real Estate Team: From chaos to pure sales
A sales team buried in admin work. Now they only do what matters: close deals.
Before
- 5 hours/day hunting leads on portals
- Deals lost in a chaotic CRM
- Follow-ups forgotten weekly
- Team drowning in admin
After
- Qualified leads delivered automatically
- Every client tracked start to close
- Zero forgotten follow-ups
- Team focuses 100% on selling