Maisa

KPU Architecture & Traceability

Maisa’s Kernel Processing Unit (KPU) coordinates multi-step work like an OS for agents. It schedules tools, manages memory, tracks state, and verifies intermediate results so tasks move from intent to completion with explainable steps. Each decision is logged with inputs, outputs, and policies, giving teams a transparent chain of reasoning to review. The OS-style design reduces brittle scripts and enables consistent, repeatable runs across processes that evolve or span multiple systems.

Studio: Natural-Language Worker Design

Design digital workers by stating goals and guardrails in plain language. Maisa Studio turns briefs into stepwise plans with tool calls, data access, and validations you can inspect and edit. Connect CRMs, ERPs, and internal APIs without custom glue code, then simulate edge cases before rollout. Versioning and templates let teams reuse patterns, while approvals ensure changes land safely. The result is faster iteration with less reliance on specialized automation engineers.

Tool Orchestration & Data Control

The platform sequences tools—search, RPA, APIs, spreadsheets, and models—while enforcing data permissions. It fetches evidence, transforms inputs, and calls systems in parallel, then reconciles outputs before moving on. Fine-grained scoping prevents over-reach, and secrets remain isolated. With typed inputs and outputs, orchestration yields dependable results you can reuse downstream for analytics, RAG grounding, or audits—without stitching together brittle, one-off scripts.

Guardrails, Policies & Human-in-the-Loop

Embed policies that constrain actions by role, data class, or environment. Require approvals on risky steps, set spending caps, and route edge cases to reviewers with full context. Checks like validation, fallbacks, and rollback plans keep operations safe under change. By making constraints explicit—and auditable—teams can scale automation into regulated workflows with confidence instead of hoping prompts behave. Governance becomes part of the run, not an after-the-fact report.

Monitoring, Metrics & Audit Trails

Track every run with timestamps, inputs, outputs, tools used, and reasoning summaries. Dashboards show success rates, time saved, exceptions, and model costs so leaders can prove ROI and tune guardrails. Replay any job to see where a decision changed the outcome, or export trails for compliance reviews. These feedback loops let teams harden critical paths while safely widening the scope of automation, turning pilots into production with confidence.