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Document review and extraction
Reads unstructured documents, extracts what matters, and cross-references it against other systems — the same mechanism that compressed weeks of due diligence into minutes.
Agentic process automation
Automation that handles the exception, not just the happy path.
We build agents that read unstructured requests, reason across your systems, and complete a task end to end — the layer above the automation you already run.
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
RPA automates the happy path. Everything else lands on a person.
Rule-based automation replays a fixed sequence and breaks the moment an input varies — a document in a different format, an email with an unusual request, a case that needs judgment. Agentic automation reads the actual content, reasons across the relevant systems, and handles that variation directly.
every completed task traces to its source input
Use cases
Where agentic automation earns its place
Processes with unstructured inputs and a real judgment call.
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Multi-step approval workflows
Coordinates approvals across systems and stakeholders, escalating only the cases that genuinely need a decision-maker.
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Cross-system reconciliation
Cross-checks records across systems that don't talk to each other, flagging discrepancies with reasoning attached instead of a blanket report.
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Exception handling for existing automation
Picks up the cases your RPA or workflow tools already route to a person, and resolves the ones that follow a documentable pattern.
Delivery path
From process audit to a production agent
TriStorm keeps process accuracy and engineering aligned.
01
Map the process and exceptions
We audit the target process, its exception patterns, and system boundaries — ranking automation candidates by volume and complexity.
Process & exception auditSystem integration mapPrioritised use case
02
Build and validate the agent
We implement against real process data, with an evaluation suite scored before any output reaches production.
Working prototypeEvaluation suiteEscalation rules
03
Deploy with monitoring
Production rollout with monitoring and audit logging, plus a structured handoff so your team runs the system independently.
Production deploymentAudit trail & monitoringOperator runbook
Client results
Proof from production agentic 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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Agentic process automation, answered
What is agentic process automation, in plain terms?
Software that reads a task, reasons across the systems and documents relevant to it, and completes the task end to end — deciding within guardrails and escalating when it should not decide alone. It is the layer above traditional automation, not a replacement for every automation tool you already run.
How is agentic process automation different from RPA?
RPA replays a fixed sequence of clicks and breaks when the input varies. Agentic automation reads the actual content of a request — an email, a document, an exception — and reasons about what to do, adapting to variation instead of failing on it.
What kind of process is a good candidate for agentic automation?
Processes with unstructured inputs and a judgment call — document review, multi-step approvals, cross-system reconciliation — not simple, fully-structured data transfers that a scheduled script already handles well.
Does agentic automation replace our existing RPA or workflow tools?
Usually not — it sits alongside them, handling the exceptions and judgment calls those tools route to a person. We integrate with what you already run rather than replacing it wholesale.
What is the typical timeline to a working system?
A scoped Proof of Value — one process, 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
Map one process worth automating end to end.
A 30-minute call identifies the exceptions your current automation can't handle, and a realistic path to a working agent.