Automate the busywork. Keep the judgment.
AI agents handle document work, matching, drafting, and routing inside real workflows, with safeguards matched to each use case.
Where the hours go.
Invoices, POs, and forms keyed in line by line. Extraction handles the routine; people handle the odd ones.
Which payment goes with which invoice, which ticket with which client. A rules engine plus AI does the first pass.
Status updates and routine responses drafted for review, not sent blind.
The delivery model
We decide whether the workflow needs software, integration, automation, AI, or a combination. AI is used where it creates meaningful value.
Senior AI-native software engineers work directly with the people, systems, and decisions behind the process. Delivery is primarily remote, with on-site work when firsthand observation will improve the result.
A qualified 10-Day AI Build Sprint delivers one agreed implementation after scope, access and kickoff are complete. Larger work is scoped separately or delivered as usable milestones through the Pod. The 10-Day AI Build Sprint is $2,500 fixed for one agreed outcome. The ten-business-day clock starts after scope approval, required access and kickoff. Half is paid upfront and half when the Definition of Done is met, subject to the Ship Guarantee. Larger implementations are scoped separately.
Senior technical leadership stays involved from discovery through architecture, implementation, and launch. Team composition matches the scope and complexity of the work.
Client-specific work transfers according to the agreement, typically after payment. Whenever practical, production systems run in accounts the client controls or can take ownership of.
ONE ACTIVE WORKSTREAM
PROFESSIONAL SERVICES · IT SERVICES
Four agents that earn their place. Safeguards matched to each workflow.
Document processing
Documents drafted, classified, and filed by agents built for one process.
See howTriage and routing
Calls and tickets classified, enriched, routed, and deduplicated automatically.
See howFollow-up that never forgets
Open supplements, quotes, and renewals followed up on schedule until they reach a clear outcome.
See howReports that write themselves
Recurring reports and QBR decks assembled from live data, with review controls matched to the audience and risk.
See howStraight answers
How is our data handled?
What if the AI gets something wrong?
Do we need AI, or just automation?
Built for the workflow. Controlled for the risk.
We build agents, assistants, and the software around them to perform a defined job inside the operation. The system is connected to the data and tools that job requires.
Agents can run on a schedule, respond to an event, or support a person inside the workflow. The operating pattern is chosen for the use case.
We avoid unnecessary provider lock-in. Models and services are components within an architecture designed to evolve as the business and technology change.