AI for process Optimized
Running operations today at scale
One case, every system
A nine-day dispute runs as one unit of work across every system, channel and handoff.
Resolved once
We measure durable resolution, not automation rate, so a case counts only when it stays closed.
Zero safety regressions
Each optimization is tested against your policies before it reaches production, so controls hold as agents evolve.
Incremental falling costs
Agents take fewer steps and cheaper paths over time, and you keep the savings.
Every failure becomes a fix
Production failures turn into test cases that automatically rewrite and improve the agent.
Trace decisions to policy
Compiled agents show the path taken and the rule that constrained it, so risk teams can answer “why?”
Outcomes across your enterprise
How it works: AI for process
AI agents that finish the work, with controls that hold and proof for every release.
Automate exception-heavy work that actually achieves enterprise goals
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Long-running workflows
Work that waits days for an approval or a callback picks up exactly where it left off.
Agents and rules, together
Agents handle ambiguity. Deterministic steps protect every payment, posting, and access change.
One case, one record
Each case carries its owner, version, approvals, and reconciliation status from start to finish.
Multi-agent orchestration
Specialist agents handle intake, matching, and follow-up, coordinated in one workflow.
Grounded in your policies
Agents work from your approved SOPs and policy documents.
Plugs into your stack
Connects to the systems where work already happens.
Automate exception-heavy work from intake to reconciled result.
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Approvals built in
Approval steps pause the workflow and create a task in the Inbox.
Data entry when needed
Structured forms collect what the process needs, then the work resumes.
Evidence at the point of decision
Reviewers see the source documents, the checks that ran, and the agent's recommendation.
Delegated authority
Agents act only within the limits you set. Everything above routes to a person.
Clear ownership
Every case has a named owner, from intake to close.
Exception queues
Unresolved cases land in one queue, with age and status visible.
Improve every interaction, process, and workflow with AI.
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Policies enforced. Every time.
Approval and policy checks run at the engine level, outside the LLM. No agent output can override them.
Every step, fully traced.
Inputs, decisions, tool calls, and policy results are recorded for every case.
Improves with every case.
Production traces surface failures. Arch proposes fixes that are tested and approved before promotion.
Work with the systems, bots, and platforms you already run.
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Reusable actions
Prebuilt integrations bound to your auth profiles, reusable across agents and workflows.
MCP and HTTP tools
Discover and import tools from MCP servers, with authentication, timeouts, and retry settings.
Your bots as tools
Wrap working RPA automations as typed actions. Artemis handles the reasoning around them.
Works with your case owner
When another platform owns the case, Artemis runs a bounded step and returns the result and evidence.
Process intelligence in
Findings from process mining define which exceptions to automate first.
Controlled promotion
Promote releases across environments, with version selection and rollback.
Solutions ready to work
Start from a tested process solution and tailor it with your own SOPs and policies.
Invoice exceptions, resolved.
Agents read each invoice, match it to the purchase order and receipt, and resolve mismatches. Deterministic checks confirm totals, supplier identity, duplicates, and approval authority before anything posts.
Invoice intake and validation
Mismatch and duplicate resolution
Bank-change verification as its own controlled step
Supplier onboarding without the chase.
Collect supplier information once, find what's missing, run approved checks, and route risk review. Artemis creates the ERP supplier record only after the owner approves.
Supplier onboarding and screening
Requisition completeness checks
Risk-based review routing
New hires ready on day one.
One coordinated case prepares payroll, IT, and access tasks, answers policy questions, and tracks every step to completion. Employment and access decisions stay with authorized staff.
Employee onboarding
Policy-grounded service requests
Access requests with approved entitlements
Our integrations
Analyst recognition
As enterprise AI moves from experimentation to production, the 2026 report helps application leaders select platforms for enabling complex and scalable AI assistants and conversational AI agents.
The assessment examines vendors on the strength of their current offering, strategy, and customer feedback, with a strong focus on application and agent development, resource orchestration, personalization, memory and context, analytics, governance, and enterprise scalability.
The research assesses providers on vision and capability, market impact, multi-agent orchestration, governance, enterprise integrations, agent lifecycle management, and support for scalable, goal-driven automation across complex enterprise workflows.
Enterprise AI trust and reliability.
Trust is engineered into every layer, from security and governance to compliance, observability, and responsible AI controls.
Related Resources
Disrupting the ordinary: process automation's new era
Bridging the gap: how AI can solve enterprise application silos
Boost AI agent performance with parallel execution
12 best AI workflow automation tools | 2026 market guide
How agentic workflows transform enterprise automation
How AI is revolutionizing enterprise business operations
AI for process automation: How harnessing AI boosts productivity
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