A service list makes you the integrator
Buy cybersecurity from one firm, cloud from another, and an AI pilot from a third, and someone still has to make them agree. That someone is usually you, and it usually happens after the invoices are paid.
The operating model
Enterprise Intelligence
Enterprise Intelligence is how Mindpod works: five layers that take a company from “we are not sure what to do next” to a technology estate that is deliberate, governed, and built to be handed back to your own team.
Why a model and not a service list
A model has an order
Strategy determines what is worth governing. Governance determines what is safe to build. The platform determines what the software can assume. Each layer makes the next one cheaper and less risky to attempt.
The five layers
Read top to bottom, this is a sequence. Read as a menu, it is five places to start.
Strategic Intelligence
Senior technology leadership, without the senior headcount.
The front door. Most teams do not need a platform on day one — they need someone accountable for the decisions that compound. At Mindpod, that someone is Jaras Funderburg: 20+ years in Microsoft infrastructure and security.
- Fractional CTO engagements
- Technology roadmap and sequencing
- AI strategy and adoption planning
- Executive and board-level advisory
- Vendor and platform decisions
- Risk prioritization
AI Governance & Security
Adopt AI without inheriting its risk.
Agents, copilots, and automated workflows introduce a new class of exposure: data movement you cannot see, actions taken without a human, and decisions nobody can reconstruct. Governance is what makes AI adoption defensible.
- AI governance frameworks and policy
- Secure AI implementation
- Agentic AI controls and approval gates
- Security strategy and posture review
- Monitoring and evidence trails
Cloud & Infrastructure Intelligence
Modernize the platform your business actually runs on.
Cloud spend is easy to grow and hard to justify. This layer covers the architecture, the migration path, the recovery plan, and the training that makes your own team able to run it.
- Azure, AWS, and Google Cloud
- Microsoft 365 architecture and hardening
- Multi-cloud and hybrid architecture
- Cloud modernization and migration
- Disaster recovery and continuity
- Cloud and AI training for your team
Application & Automation Intelligence
Software that fits the way your business already works.
When the off-the-shelf tool almost fits, the gap gets filled by spreadsheets, copy-paste, and someone staying late. This layer replaces that with software and automation built for the workflow you actually have.
- Custom application development
- Internal tools and operator consoles
- Agentic workflows with human approval
- Business process automation
- Systems integration
Product Intelligence Platforms
The methodology, shipped as software.
Our platforms are the same discipline in product form — built first for our own operations, then made available to teams with the same problem.
- MITB — Microsoft operations intelligence
- AngelMind — AI security and governance
- SupplyMind — supply-chain and tariff risk
- Quotewren — quoting to payment for service businesses
- MicroApps by Mindpod
How the layers connect
A worked example, in the order it usually happens.
The decision surfaces
A Fractional CTO engagement finds that three teams are already using AI tools nobody approved, and that the disaster-recovery plan has never been tested.
The risk gets bounded
An AI usage policy, data-classification rules, and approval gates go in — so the tools people already rely on become defensible rather than banned.
The platform gets fixed
Identity is hardened, recovery is actually tested, and the team is trained to operate what they now own.
The workflow gets built
Only now does custom software make sense — on a platform that is governed, recoverable, and understood.
Start where you are
You do not have to begin at layer one. Most clients begin where the pain is.
Need leadership?
Technology decisions are being made, and nobody senior is accountable for them.
Fractional CTONeed safe AI?
AI is already in use, and nobody can say what it is allowed to touch.
AI GovernanceNeed cloud modernization?
The platform grew by accident, and the bill grew with it.
Cloud & TrainingNeed custom software?
A spreadsheet, or one person, is holding a process together.
Custom AppsNeed a platform?
The problem is common enough that software should already exist for it.
ProductsWhat you can hold us to
Evidence over claims
Findings cite what we actually observed in your environment. If we have not verified something, we say so rather than rounding up.
You own the artifacts
Documents, decision records, source code, and pipelines are yours throughout the engagement, not delivered at the end as leverage.
Approval gates are real
Anything consequential stops and asks a human. In our own products that rule is enforced in code, not written in a policy.
Book an Enterprise Intelligence Assessment
A structured review of where you stand across all five layers, what is at risk, and what to do first. You keep the findings whether or not we work together.