Multi-Agent Operating Systems
We design and deploy multi-agent systems that absorb the senior cognitive load most teams still carry manually: pipeline stewardship, research synthesis, project intake, sprint reporting, knowledge retention, and decision support.
Senior time gets consumed by repeat cognitive work: pipeline stewardship, research synthesis, intake, reporting, and decision support.
A specialist-agent architecture with explicit scopes, orchestration boundaries, persistent memory, and reusable cognitive modules.
The reference system has been operated internally for eight months with 30+ specialist agents and persistent project memory.
An operating layer for the work your team keeps doing manually.
Sales pipeline stewardship
Research synthesis
Project intake and qualification
Sprint reporting
Knowledge retention
Decision support
Agent execution and specialist cognitive workloads.
Scheduled and event-driven orchestration across workflows.
Model layer for reasoning, generation, and structured outputs.
Memory persists into Notion, Linear, Sheets, Slack, and the systems the team already lives in.
Two operating-system deployments, one shared architecture.
A quiet background system for recalls, no-shows, treatment plan follow-ups, reviews, and new-patient intake.
- Missed recalls leave rebooking revenue on the table.
- No-shows are discovered too late for the front desk to recover.
- Treatment plans stall because nobody owns the follow-up loop.
- Recall reminders triggered on schedule, with escalation when patients do not book.
- No-show prevention sequence with automated texts and a call prompt for staff only when needed.
- Review requests sent after positive visits while treatment-plan follow-ups stay active until resolved.
Scans due patients and opens follow-up sequences.
Escalates only the bookings that need a human touch.
Requests reviews after a strong patient experience.
Recovered appointments and accepted treatments can cover the setup inside the first quarter.
Week one live: recall + no-show recovery running in production.
Memory persists into the stack your team already uses. No new product to learn, no second operating surface to maintain.
Built like an operating system, not a prompt toy.
Single-responsibility agents with explicit input and output contracts so orchestration stays legible.
Hub-and-spoke coordination with observable hand-offs, retries, and stop conditions at every boundary.
Working, episodic, semantic, and procedural layers persisted into the tools your team already uses.
Thirty-plus versioned cognitive modules that can be recomposed sprint by sprint into new operating flows.
Live context from the task at hand, current queues, and unresolved hand-offs.
What happened on this client, this sprint, and this decision trail.
Canonical knowledge, policies, playbooks, definitions, and naming conventions.
The exact steps, skills, and reusable operating routines agents can execute.
Have a system that needs building?
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