Solutions

Process mapping,
automation, and work management tools in one platform.

Human-Machine Teaming
Automation
Agents

H-Synth is designed for end-to-end work managment and process improvement. From mapping your existing processes to creating brand new processes in minutes.

Git-like version history for your organization's processes with powerful work execution and management capabilities.

Scope your deploymentWatch the 3-minute demo
H-Synth / Workspace
Deployment view
H-Synth workspace showing a validated process map alongside live operator signals
01
One validated model of the organization, assembled from documents, logs, and the operators themselves.
2-4 weeks
Full process map, in place of a 12 to 18 month documentation program.
~1 week
Per major workflow, captured at task level detail.
6 modules
Core and Intelligence tiers deploy independently, in any order.
No lock-in
Every output ships in the formats your team already works in.
The gap

Generic tools document the org chart. The work happens somewhere else.

Every organization runs on two systems. One is written down in SOPs, policy manuals, and onboarding decks. The other lives in the judgment of the fourteen people who know which exception applies when, and it is the one that actually moves the work. Standard process software only ever sees the first.

That is why documentation projects stall. A generic tool asks your teams to describe their work in the tool's vocabulary, which produces a clean diagram of a process nobody runs. The tacit knowledge stays with people who are three years from retirement, and the concentration of that risk never appears on a dashboard.

The problem is not a shortage of software. It is that the software has to start from your reality instead of from a template.

Documentation drift

The written process and the executed process diverge quietly, or sometimes loudly. But do you really want to spend most of the work week making sure work is logged and docs are updated? Probably not.

Key-person Risk

The guy who has been doing it for a decade and runs off of random sticky notes and a torn notebook is probably your most valuable person, but it also hurts the most when he leaves.

Unpriced operational risk

We all know that risk is more than just dollars. It's reputation, organizational capability, organizational culture and more. Without metrics and measures to quantify and track that risk, the bottom line wins every time.

See it run

Three minutes inside a live deployment.

The clip follows one workflow from raw input to validated map. A policy PDF, a screen recording, and a twenty minute operator interview go in. A BPMN 2.0 diagram, a named owner list, and an exception register come out. Nothing is staged, and the interface is the one your team would use.

Recorded session / Analyze to Build to Operate
Core tier

Three modules. Deploy the one that answers your question first.

Every module is configured against your environment before it goes live, and every module runs on its own. There is no platform-wide rollout to survive before you see a result.

Core / Analyze

Capture the process that actually runs.

Analyze ingests what you already have: SOPs, policy manuals, system logs, screen recordings, whiteboard photographs, OpenAPI specs, and semi-structured interviews with the people who do the work.

Machine learning drafts the structure, then operators confirm or correct each step, so the map is validated by the humans it describes rather than inferred from logs alone. A workflow that takes a consulting team a quarter to document lands in about 3-5 business days at task level detail. Both the digital and the physical steps.

Inputs / SOPs, system logs, interviews, screen capture, sketches, OpenAPI
Outputs / BPMN 2.0, knowledge graphs, checklists, policy documents
Validation: / named operator sign-off on every captured step
H-Synth / Analyze
Process capture
01
Captured steps carry their source and their owner, so every element of the map is traceable.
Core / Build

Turn the validated map into agents that work your way.

Build converts confirmed process steps into agentic automation, meaning software agents that carry out defined work and hand back to a person at each consequential junction. Role-based access governs who can view, decide, approve, and escalate. Every execution writes to a RAPIDE audit trail, a deterministic record of what the agent did and why, so a compliance officer can reconstruct any run months after the fact.

Human-in-the-loop at every consequential decision junction
Role-based access / view, decide, approve, escalate
RAPIDE / deterministic causal audit trail on every run
H-Synth / Build
Agent composition
02
Approval gates are part of the design, not a setting somebody remembers to switch on.
Core / Operate

Guided execution that captures knowledge as it happens.

Operate runs the work in front of your team as a guided sequence, surfacing the right step, the right authority, and the right reference at the moment each is needed. Real-time instruments measure operator confidence, cognitive load, and authority alignment, so you can see where a process strains before it fails. Operate writes the knowledge generated during execution straight back into the map instead of letting it settle in somebody's inbox.

Guided execution with in-context authority and references
Live instruments / confidence, cognitive load, authority alignment
Every run improves the map it came from
H-Synth / Operate
Guided execution
03
The operator sees one step and its authority. Leadership sees where the process is straining.
Intelligence tier

Add quantitative depth and operational telemetry.

The Intelligence modules read from the same validated model, so nothing has to be rebuilt to start asking harder questions.

Explore
Knowledge base
Explore

An organizational knowledge graph and documentation library, find meeting notes, documents, processes, inputs and outputs, all on one searchable knowledge graph.

Model
Scenario simulation
Model

Monte Carlo simulation and agent-based modeling test a change against thousands of possible futures, running your people, processes, and systems together rather than in isolation.

Observe
Causal telemetry
Observe

Deterministic telemetry builds a directional graph of everything your AI agents do when run inside H-Synth. Enabling real-time monitoring and evaluation of agents and stoping policy violations in real time.  

The method

Quantified, not observed.

Most assessments hand leadership a qualitative read: a rating, a heat map, a consultant's confidence. Metanoia quantifies. Monte Carlo simulation tests an intervention across thousands of simulated futures before anyone commits to it. Agent-based modeling runs your people, processes, and systems together under real conditions rather than one at a time on a whiteboard.

Value at Risk calculations price human error, compliance violation, and operational failure in the same currency your finance team already uses. The output is a statistically defensible risk posture, which in practice means a decision you can explain to a board, justify to an auditor, and revisit when conditions change.

The methods came out of defense and intelligence work, where a wrong estimate carried consequences that were not financial. They apply cleanly to a commercial operation, and they hold up under scrutiny.

See what the science surfaces.
Start a conversation
modeling Method stack
Standard
monte carlo
scenario sweep
agent-based
people x process x system
probabilistic
confidence intervals
value at risk
error / compliance / ops
output
defensible risk posture
How a deployment runs

We'll do the smallest useful deployment first.

01
Scope

We walk your environment and choose the smallest deployment that answers a question or solves a problem you actually have.

02
Configure

We configure modules against your systems, your output formats, and your access model. Your team keeps working in the tools they already know.

03
Validate

Operators confirm the captured process step by step. Nothing ships until the people who do the work recognize themselves in it.

04
Extend

Once the first map holds, further workflows, modules, and simulation layers come online at whatever pace your organization can absorb.

You already know where it hurts. Let's make it legible.

You arrived knowing something in the operation does not hold together, and that nothing you have tried has been able to show you why. Configured against your environment, H-Synth turns that suspicion into a model your leadership team and your operators both recognize, and Cartographer shows you the cultural ground any change has to cross.

The first conversation is a scoping session. We look at one workflow together, agree what a deployment would cover, and tell you plainly what it would produce.

Let's scope it together.
Start a scoping sessionRead the capability statement