Agent fleets
Teams of agents that handle a whole function — operations, coding, creative, campaign management — with the handoffs and guardrails written down.
Design · Implement · Deploy · Maintain
AI systems that actually run your operations.
We build the agents, knowledge bases and data plumbing a business runs on — then we deploy them, watch them, and keep them working. Not a pilot deck. Systems your team uses on Monday.
01 — D
Design
We map the work first: what your people actually do, where the hours go, which decisions repeat.
02 — I
Implement
Built against your real systems and real data, not a sandbox that flatters the demo.
03 — D
Deploy
Hosted, access-controlled, and put in front of the people whose job it changes.
04 — M
Maintain
Models move, APIs break, businesses change. We own it after launch — that's the part most skip.
What we build
One team for the systems, the agents, and the data underneath.
Marketing, operations and engineering stopped being separate problems. We build across all three because the seams between them are where the work actually gets lost.
Knowledge bases
Your documents, tickets, transcripts and tribal knowledge turned into something a person or an agent can actually query and trust.
Custom agents and bots
Single-purpose agents wired into the tools you already pay for — Slack, email, your CRM, your warehouse — doing one job properly.
Custom applications
If you can pay for a platform, we can build you the version that fits your business — and you own it instead of renting it per seat.
Machine learning
Forecasting, scoring and anomaly detection trained on your own history — run inside the warehouse, priced in cents rather than headcount.
Data and measurement
The unglamorous layer: pipelines, warehouses, tracking and attribution, so every system above it is arguing from the same numbers.
How we work
We name ourselves after the part everyone skips.
Most AI work dies after the demo, because nobody owns it once the model changes or the API moves. DIDM is the whole loop: design it, build it, ship it, and keep it alive. Our start was in marketing, analytics and web performance — which is why the systems we build come with measurement attached instead of bolted on afterwards.
30+ yrscombined experience
4 phasesdesign → maintain
You own itcode, data, systems
# a week in the life of a deployed system agent intake.triage 412 msgs → 38 escalated agent quote.builder 17 quotes drafted job warehouse.sync ok · 03:14 UTC model demand.forecast MAPE 6.1% ↓ alert api.vendor.v2 patched by us, not you report monday.brief sent 07:00 local
Who it's for
Industry-agnostic, on purpose.
The pattern repeats everywhere: repetitive decisions, scattered knowledge, and a team too busy to fix either. We've built for field service, retail, education, professional services and trades — the shape of the work rarely changes, only the vocabulary.
Field service & trades
Retail & e-commerce
Education
Professional services
Manufacturing & distribution
Healthcare operations
Real estate
Agencies
Questions
The things people ask first.
Do we own what you build?
Yes. Code, data, models and infrastructure sit in accounts you own. If you stop working with us, everything keeps running and nothing is held hostage.
How do you start?
With a short engagement to map the work and pick one system worth building first — usually the one costing the most hours. You get the map whether or not you continue with us.
What does it cost?
Scope decides it, so we quote per system rather than publishing tiers. Tell us the problem and you'll get a number and a timeline, not a proposal deck.
What happens after launch?
That's the M. We monitor the systems, absorb model and API changes, and keep the thing working as your business changes. Most of our work is with clients already past launch.
Can you work with our existing stack?
Usually, yes — we build against what you already run rather than asking you to migrate first. Where a tool genuinely blocks the work, we'll say so plainly.
Start a conversation
Tell us what keeps eating the week.
Describe the process, the headcount it takes, and what "fixed" would look like. We'll come back with whether it's worth automating and what it would take.