01
Operations
Workflow generation, exception handling, and cross-system reconciliation — the highest-volume automation candidates in most companies.
AI business automation
Start with one process that actually costs you.
We rank automation candidates by data readiness and business impact, then build one working agent before talking about the rest of the roadmap.
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
A company-wide automation roadmap is a strategy document, not a result.
Ambitious, company-wide AI initiatives tend to stall because they try to automate everything at once instead of proving value on one process. The companies that actually ship start narrow: one workflow, real data, a working agent — then expand from evidence, not from a slide.
one process proven before the next is scoped
Where to start
Business functions with the clearest automation ROI
Document-heavy, multi-system work with a real decision inside it.
02
Finance
Claims and invoice verification, multi-step approvals, and reconciliation across systems that don't share data natively.
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Customer-facing teams
Support and onboarding grounded in real account data, handling volume that a fixed script cannot serve accurately.
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Compliance & documentation
Document review and record-keeping that needs a sourced, auditable trail — not a black-box automation.
Delivery path
From one process to a production agent
TriStorm scopes the first win before scaling the roadmap.
01
Strategize
We rank automation candidates across your business by data readiness, integration complexity, and impact — then pick one to prove first.
Cross-functional workflow auditImpact rankingPrioritised use case
02
Build
A working agent on your real data, with an evaluation suite — evidence for a build decision, not a slide deck.
Working prototypeEvaluation suiteProduction path
03
Transform
Production rollout with monitoring and governance, ending in ownership transfer — then the next process is scoped from evidence.
Production deploymentMonitoring & alertingOwnership transfer
Client results
Proof across business functions
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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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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AI business automation, answered
Where should a mid-market company start with AI business automation?
With one process that already costs real time or money — not a company-wide rollout. We rank candidates by data readiness and business impact during the Strategize phase, before any build starts.
Which business functions see the most from agentic automation?
Operations, finance, and customer-facing teams typically have the highest volume of document-heavy, multi-system, judgment-requiring work — the profile agentic automation handles best.
Can automation span more than one department, or does it need to stay siloed?
It can span departments when the workflow itself does — a finance approval that touches operations data, for instance. We map the actual workflow, not the org chart.
What has this delivered for companies like ours?
A three-agent product advisor that lifted workflow success to 95.4% for a print-on-demand platform, and a workflow-generation agent that cut engineers' setup time from 3 hours to 3 minutes for an engineering-software platform — each scoped to one real business process.
How do you decide what to automate first?
We rank candidates by data readiness, integration complexity, and business impact during the Strategize phase — not by what sounds impressive, by what will actually ship.
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
Find the one process worth automating first.
A 30-minute call ranks your automation candidates by data readiness and impact — no company-wide commitment required.