Augmented Learning for Every Team
A.L.F. is an Augmented Learning Framework that ingests proprietary playbooks, product docs, and telemetry so any team can converse with their institutional knowledge while meeting governance, security, and compliance needs.
The Challenge
Teams across finance, manufacturing, healthcare, and field operations rely on tribal knowledge hidden in wikis, drive folders, ITSM tools, and spreadsheets. When a new question comes in, hunting for process context wastes time, creates inconsistent answers, and risks non-compliant decisions.
Traditional search, chatbots, and SIEM dashboards are not built to answer natural-language questions about historical processes, ownership, or policy nuance, leaving teams to re-create work manually.
The Solution
A.L.F. ingests your private knowledge bases, product guides, and telemetry, indexes them securely, and exposes a retrieval-augmented application so teams can ask questions in natural language. It cites the original source, surfaces ownership history, and suggests next steps that can be pushed into existing tools or Watchtower when security automation is needed.
Because A.L.F. is a standalone platform with connectors for ERPs, ITSM, and document systems, it adapts to any market, operating air-gapped, on-prem, or in private cloud to meet strict governance requirements.
Key Features
Domain-adaptive retrieval across manuals, tickets, and knowledge bases
Natural-language querying with cited sources and ownership context
Role-based governance with AD/SSO enforcement and auditing
On-prem, private cloud, or fully isolated deployments
Workflow hand-offs into Watchtower or any existing systems
Connectors for ERPs, ITSM, document management, and data lakes
How It Works
Ingest
Securely import manuals, tickets, wiki pages, product catalogs, and telemetry.
Index
Normalize and enrich data with ownership, change history, and access controls.
Ask
Use natural-language queries to retrieve cited answers and past actions.
Act
Push recommendations into Watchtower, ITSM, or any existing workflows.