Org design & workforce integration
Spans, layers, and management cost computed across tens of thousands of positions. The org chart becomes evidence; leadership makes the calls.
A forward-deployed software practice .
We embed with your team for short, focused engagements on the front line of the work. Then we build the systems, increasingly machine learning and AI, that make complex decisions clearer. Not autonomy that removes the human. Intelligence that supports judgment.
Practical systems for finance, operations, and human capital. Senior engineers on your front line, shipping in weeks.
See the applicationsWhy we exist .
Critical decisions still run through fragile spreadsheets, scattered documents, ad hoc reporting, and institutional memory. It works until it doesn't: during growth, integration, restructuring, a leadership change, any moment when the stakes rise and the system has to hold.
Reasonable Machines exists for those moments. We turn messy operational reality into systems that are easier to use, easier to trust, and easier to act on.
In production .
Spans, layers, and management cost computed across tens of thousands of positions. The org chart becomes evidence; leadership makes the calls.
The walk from actuals to plan to forecast, decomposed by driver and sub-function, with every variance traced to the assumption that moved.
Synergy capture tracked from announcement to run-rate with owner-level accountability, so the number the board hears is the number operations can defend.
Trial landscapes, enrollment reality, and competitive signal reviewed with every claim cited to its source. The team sees the evidence, not just the answer.
Criteria evidence assembled before the reviewer opens the case, with every gap routed to records or clinical judgment. The system recommends; a clinician signs.
Tens of millions in assets modeled nightly: exposure, concentration, and stress, with every limit visible and every assumption documented.
An autonomous quoting engine with hard guardrails and a human reading its journal every night.
Sectors: process engineering . pharma & bio-pharma . healthcare . asset management . manufacturing . event markets // Functions: human capital . finance . operations . consulting . program & project management . machine intelligence
What we build .
Org design, workforce planning, talent assessment, change readiness, and synergy tracking. Full stacks for designing and executing organizational change.
Planning, approvals, reconciliation, reporting, and cost visibility. Workflow engines for operational control where spreadsheets stop scaling.
Clear views of the work: what is changing, what matters, where risk is building, and where leaders need to act. Internal tools that keep human review where it belongs.
Machine learning, RL, and AI integrated into real operations, with judgment kept in the loop. Models that explain themselves and surface the call, not models that quietly make it.
How we work .
Engineers on your front line, not a product thrown over the wall.
We begin with the real workflow: the people involved, the decisions being made, the data you actually have, and where friction slows everything down.
A custom platform, a focused internal tool, a decision layer, or an ML and AI integration. Whatever the work needs, built to fit it, not the other way around.
Engagements end. The system you are left with is yours: documented, owned by your team, and built to be trusted long after we leave.
Engagements .
We scope tight and ship working software, not slideware. You get senior engineers on your front line, a system built around your real workflow, and full ownership the day we leave. No lock-in, no seat licenses, no standing dependency on us.
Reasonable Machines .