AI systems built around the work you do.
We start with the work you actually do, design the solution, build it, then support it and keep improving it.
For owner-led services businesses that have tried AI and seen nothing reach the P&L.
Who we build for
- Property management
- Accounting and bookkeeping
- Home services and trades
- Lending and capital operations
- Marketing and advertising agencies
- Specialty and multi-location dealers
- Insurance agencies and brokerages
- Boutique law firms
Consultants leave a deck. SaaS leaves a login. Dev shops build and walk. We support and keep improving what we build.
Three builds
Insurance
Commercial quoting intelligence
Quoting a commercial risk meant rebuilding the same research by hand every time, across carrier appointments, forms and prior submissions. Every unusual risk turned into its own research project.
A research application that assembles the underwriting picture, finds the comparable risks, and feeds the custom quote. It is built around their book of business, not a generic one.
One system in place of 17 carrier portals.
Nonprofit
Grant match, find through win
A small team was losing whole staff-weeks to communications and database work, and missing grants it qualified for because nobody found them in time.
An application that finds the grants, matches them against the organization profile, and carries the work through submission. The communications and database layer sits underneath it.
Twenty hours a week returned to the mission.
Capital markets
Cascade IR, data to investor-ready
Turning raw operating data into a deck an investor will read is a recurring manual job, done under deadline by the people least able to spare the hours.
An application that ingests the raw operating data and produces the analysis, the narrative and the deck.
The reporting cycle runs end to end.
Four capability areas
What we doWe reply by email to set up the conversation.
Intelligent Workflows
“Can this particular process stop needing my constant attention?”
A process with a defined trigger and a defined end, such as intake, document processing, routing or follow-up.
AI Agents
“Can a named operator own this job?”
A specialist agent, an agent team or a customer-facing agent with a defined remit. It keeps a job, instead of answering one trigger.
Custom Applications
“Can you build the tool our business actually needs?”
An application designed for your work, that your people log in to and use every day.
Advisory
“What should we build or change, and how do we know it landed?”
A decision, an assessment, a roadmap, training or adoption work. The deliverable is the answer, not necessarily a running system.
One engagement, four stages.
How we build-
1. Scope and design
We learn the real process, the people in it, the systems it touches and what it costs you. Then we define the solution: integrations, failure modes, data access, and where a person decides instead of the system.
- The process and the people Who does the work today, where it stalls, and what that costs.
- Systems and data access What it connects to, and what it may read and change.
- Failure modes What happens when an input is wrong or missing, and who hears about it.
- Human decision boundaries Where the system acts and where a person decides. Set before anything is built.
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2. Build
We build the agreed solution and demonstrate it against acceptance criteria we name together. Accepted means it works in actual use, not that the code passes.
When a prototype makes sense
When the open question is whether the approach will work on your actual workflow. Then we prototype one workflow before the full build.
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3. Warranty
A warranty stage is part of the engagement. Its terms are set in your proposal.
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4. Support and continuous improvement
We maintain the system and keep improving it as your business changes and the underlying models change.
- People stay in the loop Your team approves, corrects and overrides where it matters. Those corrections shape how the system improves.
- When the models change The underlying models keep changing. Part of support is keeping your system working well as they do.
In their words
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Every tool we looked at wanted us to change our business to fit their software. Zen Aegis built the software around our business instead. The agent isn’t bolted onto the side of something someone else made — it’s part of the system. I didn’t understand the difference until I saw it running.
Jesse Fowler CEO, Lief -
We're a small team doing work that matters, and we were losing twenty hours a week to communications and database busywork. Zen Aegis built the system that took it back. They didn't sell us software — they built the thing we actually needed and then stayed to run it. Twenty hours a week, back into the mission.
Faith Bone Head of Operations, Amanda Hope Rainbow Angels
Tell us the workflow that’s eating your team alive.
Pick the one that hurts most and we’ll talk it through with you: what we’d design, what we’d build, and what we wouldn’t. If workflow fit is still the open question after that, a prototype of one workflow is a qualified next step.
- What we’d design The process, the people in it, and where a person decides.
- What we’d build The system, and how we would prove it in actual use.
- What we wouldn’t Said plainly on the call, including when the answer is no.
