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Document classification and extraction
Reads an incoming document, classifies it, and extracts structured data for the rest of your process map to consume.
AI for business process automation
The step your process map routes to a human.
We build agents that handle the judgment-requiring steps inside your existing BPM or workflow platform — not a replacement for the orchestration you already have.
Trusted by operators
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+11.76% orders from day 1 of the Australian launchThree-agent product advisor guiding customers through print-order configuration.
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Supply chain intelligence agents reducing manual coordination overhead.
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37 kernels ported from CUDA to Intel GaudiProduction AI workloads moved to new hardware for on-prem LLM deployment.
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AI agent implementation for a global automotive enterprise.
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2 hrs → 3 min to generate a workflowText-to-workflow agents building validated node graphs inside the platform.
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44% → 98% raw LLM vs guideline-executing accuracy on the open 50-scenario benchmarkHIPAA-compliant guideline-executing triage — 44% to 98% on the open 50-scenario benchmark.
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Why agentic AI
Every process map has a step labeled 'human review.' That's where an agent fits.
BPM platforms execute the branches you designed in advance — but every process map has at least one step where the branch depends on judgment: classify this document, verify this exception, decide this edge case. That step is where an agent adds real capacity, without replacing the process map around it.
every decision traces to the rule or precedent behind it
Use cases
Where an agent slots into an existing process map
The judgment steps a fixed branch can't resolve.
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Exception and edge-case handling
Takes over the branch your process map currently routes to a person, resolving documented patterns directly.
03
Pre-approval verification
Cross-references a request against policy and prior decisions before it reaches a human approver, with reasoning attached.
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Cross-system data reconciliation
Resolves data that lives in disconnected systems within your process, instead of a manual lookup step.
Delivery path
From process map to a working agent step
TriStorm keeps the existing process intact and adds the agent where it earns its place.
01
Map the process and the judgment step
We audit the existing process map, identify where a fixed branch fails, and assess the data available to resolve it.
Process map auditJudgment-step analysisPrioritised use case
02
Build and validate the agent
We implement the agent for that specific step, with an evaluation suite scored against historical decisions before production.
Working prototypeEvaluation suiteEscalation rules
03
Deploy inside the existing process
Production rollout as a step inside your current BPM or workflow platform, with monitoring and a structured handoff.
Production deploymentAudit trail & monitoringOperator runbook
Client results
Proof from production process automation
2 hrs → 3 minto generate a validated workflow
Engineers moved from hours of tedious setup to minutes, through multi-step validation rather than a single generation pass.
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95.4%Success rate in workflow results
A three-agent product advisor guiding customers through print-order configuration — 15 tools working against more than a billion product combinations.
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AI for business process automation, answered
How does an AI agent actually differ from a BPM workflow engine?
A BPM engine executes a process map you designed in advance — every branch predefined. An agent reads the situation and decides which branch applies, including ones you didn't explicitly map, escalating when it's genuinely unsure.
Do we need to replace our BPM or workflow platform to use agentic AI?
No. Agents typically sit inside your existing BPM platform as a smart step — handling the judgment call a fixed branch can't — rather than replacing the orchestration layer you already have.
What business processes benefit most from adding an agent?
Steps in an existing process map that currently route to a human for judgment — document classification, exception handling, cross-referencing data before an approval — not the deterministic steps that already work fine.
Can an agent read documents as part of a larger business process?
Yes — this is one of the most common entry points: an agent extracts and classifies information from a document, then hands a structured result to the rest of your process map.
What is the typical timeline to a working system?
A scoped Proof of Value — one process step, real data, a working agent — typically lands in 3-6 weeks, following the same TriStorm phases as any Vstorm engagement.
Do we own the system after it's built?
Yes. Full ownership of agent logic and integrations — no proprietary runtime lock-in.
Start with one process step
Find the judgment step worth automating.
A 30-minute call identifies the step in your process map that currently needs a human, and whether an agent can take it over.