Defined job
One recurring work product with a clear trigger and finish line.
Managed AI employees for founder-led businesses
Hire one bounded AI role that knows the context required for its job, works inside approved systems, completes the routine path, and brings exceptions to the right person.
Knows your business. Does the job. Managed by us.
Choose one recurring job worth testing and draft a one-page job brief.
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A working role, not an AI project
The role starts with one recurring job. Routine work moves forward. Uncertain or sensitive cases stop and go to the named manager.
One recurring work product with a clear trigger and finish line.
Email, spreadsheets, documents, CRM, accounting, and browser software you approve.
Unusual, uncertain, or sensitive cases route to the right person.
Managers see completed work, exceptions, corrections, failures, and review burden.
From job description to managed operation
Most AI products leave your team responsible for the use case, setup, credentials, integrations, quality control, and failed runs. twosixfour owns that work.
We set the finished result, acceptance criteria, boundaries, permissions, and exceptions that stay with a person.
We connect approved systems, add business context, test real cases, and install the right review gates.
We handle monitoring, failures, credentials, integrations, SOP updates, rollback, and measured improvement.
Start with one job
The strongest first roles have a visible cost, examples of good output, and a manager who can review exceptions.
Match deposits, investigate exceptions, classify transactions, prepare reconciliations, and route uncertain cases.
Review calls, draft follow-ups, update CRM fields, flag stalled opportunities, and prepare reporting.
Review conversations, route requests, prepare responses, chase missing information, and escalate judgment calls.
Move information between systems, update reports, assemble weekly status, and flag work at risk.
What your team receives
Your people see the finished work, the cases that need judgment, and enough operating detail to manage the outcome without managing AI infrastructure.
Updated systems, prepared reports, drafted follow-ups, reconciled records, or routed requests.
Cases that need judgment arrive with the relevant context and a clear next decision.
Each run records what the employee received, what it changed, and where the work stopped.
twosixfour watches failures, review burden, corrections, credentials, and process changes.
The managed service
We scope the role, build it, launch it into real work, and remain responsible for the infrastructure and operating health behind it.
Define the result, permissions, review rules, acceptance criteria, and exceptions.
Connect approved systems, add business context, and run real cases behind human review.
Begin receiving work, completing the routine path, routing exceptions, and recording results.
Monitor failures, maintain integrations and credentials, update the role, and expand after proof.
Real work, not demo theater
A dashboard can show completed work, approvals, and exceptions. The proof is what happens behind it.
In one production bank workflow, routine transactions moved forward while exceptions stayed with a person.
A two-hour process dropped to roughly five minutes while updating reports and leaderboards.
One useful job first
Use the free playbook to compare recurring work and leave with a specific job to evaluate.
Free PDF. About 15 minutes to complete. No meeting required.