Whatever your teams are building with AI — copilots, document intelligence, customer and ops automation, analyst reporting, knowledge assistants, agents — AiraFusion is the one command center to build it, run it on any model, watch it, and govern it. One platform instead of six stitched-together tools.
Each use-case is one workload on the same platform — built in the studio, run through the secure gateway, watched in Mission Control, controlled by policies and audit.
The pain: every team wants a chatbot, so you end up with a dozen unmanaged ones, no cost control, no oversight.
How AiraFusion does it: ship governed assistants as AI Apps and agents, grounded on your knowledge with RAG, routed through the secure gateway with model-ACL and per-app cost caps.
The pain: extracting, summarizing, and comparing documents by hand is slow, and ungoverned tools leak sensitive files.
How AiraFusion does it: Document Insights extracts, summarizes, and compares inside your perimeter — with guardrails before the call and a forensic audit of every read.
The pain: support and back-office work is repetitive, but brittle scripts break and one-off bots can't be trusted in production.
How AiraFusion does it: compose durable, crash-safe workflows and agents with triggers and output actions to Slack, email, webhooks, and downstream apps.
The pain: recurring reports eat analyst hours, and copy-pasted AI output has no provenance.
How AiraFusion does it: Report Studio authors charts and narrative, pulls from live data sources, and delivers on a governed schedule — every figure traceable to its run.
The pain: answers buried in thousands of documents, and generic chatbots hallucinate when they don't know.
How AiraFusion does it: state-of-the-art RAG over your own knowledge bases returns grounded, cited answers — with an abstention gate that declines rather than guess.
The pain: autonomous agents are powerful but hard to trust — runaway cost, unbounded loops, no audit.
How AiraFusion does it: orchestrated agents with sub-agent trees and per-tree cost caps, every step policy-checked and recorded in a tamper-evident trail.
Any enterprise scaling AI benefits from one governed platform. Regulated organizations need it. Run the whole estate inside your own perimeter, on any model, and prove to an examiner exactly what every call did. ⚠ verify mandates per jurisdiction
The pain: AI on customer, credit, and transaction data — under examiner scrutiny, with zero tolerance for data leaving the perimeter or unexplained decisions.
How AiraFusion fits: credit, KYC, and analyst copilots run on-prem; policies and guardrails fire before every call; a tamper-evident, hash-chained, WORM-locked audit gives the examiner the evidence trail.
The pain: claims, underwriting, and policy documents are sensitive and high-volume; automated decisions must be explainable and reproducible.
How AiraFusion fits: document intelligence and claims automation grounded with RAG, model-ACL enforcing who can use what, and full lineage from input to decision — kept entirely in your environment.
The pain: data residency and sovereignty are non-negotiable; public-sector AI must run without sending citizen data to a third-party cloud.
How AiraFusion fits: same platform on sovereign cloud, your data center, or fully air-gapped — vendor-neutral over any model, with forensic audit for public accountability.
The pain: patient records demand strict access control and privacy; clinical and operational AI must be governed and auditable end to end.
How AiraFusion fits: guardrails and access policies protect protected data, RAG keeps answers grounded in approved sources, and every interaction is recorded — deployed inside your own perimeter.
AiraFusion gives every stakeholder in your AI program the surface they need — without buying four different tools.
Consolidate AI sprawl into one accountable command center — one budget, one estate, one place that answers "what is our AI doing?"
Ship agents, workflows, AI apps, and reports in one studio — the platform handles gateway, RAG, and plumbing so they build the use-case.
Run the estate from Mission Control — live cost, usage, performance, health, queues, and alerts across every workload in one pane.
Enforce policies, guardrails, and model-ACL before the call, and hand an examiner a tamper-evident audit trail after. regulated
Pick one high-value workload — a copilot, a document pipeline, an automation. Build it, run it, watch it, govern it on your own infrastructure, with written success criteria. Then expand across teams.