The PAF System
Connect your business knowledge with the Enterprise Brain. See AI spend in dollars through the AI Cost & Usage Monitor. Build useful agents and LLM-powered products with evaluation and governance from the first sprint — connected to PAF AI Engineering and PAF AI Testing, not isolated experiments.
Enterprise knowledge
Connect requirements, repositories and test cases in a governed knowledge layer. Give engineering and QA shared context about what changed, why it matters and what to validate.
Explore the Enterprise BrainAI cost governance
Understand AI spend in dollars by team, project and model. Connect adoption trends, budget alerts and usage to business value without taking useful tools away from your teams.
Explore AI cost governanceProduction-grade assistants and product features on OpenAI, Anthropic, or Gemini — with streaming, tool calls, and guardrails.
Retrieval pipelines over your documents and databases: chunking, embeddings, hybrid search, and citation-backed answers.
Multi-step agents that take real actions in your systems, with human-in-the-loop approval and full audit trails.
Replace manual back-office steps — triage, routing, summarization, reporting — with reliable, monitored automations.
Extract structured data from PDFs, scans, and email at volume, with validation rules and confidence scoring.
Speech-to-text, text-to-speech, and real-time voice agents for support, field work, and accessibility.
Offline and online evaluation suites, prompt versioning, fine-tuning, and deployment pipelines that keep quality measurable.
Map, document, and safely refactor legacy systems using agentic tooling instead of month-long manual discovery.
Data handling policy, PII redaction, model routing, and cost controls — reviewed against your compliance requirements.
The Enterprise Brain links requirements, code and tests into one governed knowledge layer — so your engineers, your QA team and your AI agents work from the same context.
$ paf brain index --scope billing-service
→ 412 modules connected ...
→ 38 domain rules captured
✓ living system map updatedProblem
Knowledge disappears the moment engineers roll off the project.
With the Enterprise Brain
Architecture and business logic captured in a living system map.
$ paf brain impact PaymentGateway.charge()
→ 17 direct callers
→ 4 downstream services
⚠ blast radius: checkout, refundsProblem
Legacy systems are risky to change blind.
With the Enterprise Brain
Visual dependency mapping shows blast radius before any change ships.
$ paf brain explain order-pipeline
→ entry points, owners, contracts
→ 6 guided walkthroughs generated
✓ ramp-up plan readyProblem
New hires need months to become productive in opaque systems.
With the Enterprise Brain
A live map replaces guesswork and shortens ramp-up time.
One governed layer
Requirements, repositories, tickets and test suites connected in a private knowledge base your teams and agents can query.
Dev and QA on the same page
Everyone sees what changed, why it matters and what to validate — before code ships.
On top of your stack
It indexes what you already run. No rip-and-replace, no tooling lock-in.
Client code is never used to train external models and stays covered under your existing MSA and NDA terms.
Two weeks. We audit your data, workflows, and systems and return a ranked backlog of AI opportunities with effort and ROI estimates.
Four to six weeks. One narrow use case shipped to real users, with evaluation metrics and a cost-per-task baseline.
Ongoing. A dedicated AI squad hardens, monitors, and expands what works across the rest of your product.
No. We run under zero-retention API terms wherever available, and your code and data are covered by the existing MSA and NDA.
Yes — most AI engagements are embedded. Our engineers join your repos, standups, and review process.
Start with the AI Readiness Assessment. You get a prioritized opportunity map even if you never build with us.
Model routing, caching, prompt compression, and per-feature budgets with alerting — reported alongside quality metrics.
