Enterprise knowledge
The PAF Enterprise Brain
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 PAF BrainThe PAF System
PAF AI Solutions
AI-fluent nearshore teamsStart in 2 weeksE&O insured
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.
Our own product · AI observability
The AI Eye
See how your company uses the AI it already pays for. Adoption, idle licenses and team trends for Claude, GitHub Copilot and ChatGPT — every number shows where it comes from.
Free up to 50 licensed people · No credit card
Try The AI Eye for freeWhat we build with AI
LLM Apps & Chatbots
Production-grade assistants and product features on OpenAI, Anthropic, or Gemini — with streaming, tool calls, and guardrails.
StreamingTool callingGuardrails
RAG & Vector Search
Retrieval pipelines over your documents and databases: chunking, embeddings, hybrid search, and citation-backed answers.
EmbeddingsHybrid searchCitations
AI Agents & Copilots
Multi-step agents that take real actions in your systems, with human-in-the-loop approval and full audit trails.
AgenticHuman-in-the-loop
Workflow Automation
Replace manual back-office steps — triage, routing, summarization, reporting — with reliable, monitored automations.
Back-officeMonitoring
Document & OCR Pipelines
Extract structured data from PDFs, scans, and email at volume, with validation rules and confidence scoring.
ExtractionValidation
Voice & Speech Interfaces
Speech-to-text, text-to-speech, and real-time voice agents for support, field work, and accessibility.
STT / TTSRealtime
Evals, Fine-tuning & MLOps
Offline and online evaluation suites, prompt versioning, fine-tuning, and deployment pipelines that keep quality measurable.
EvalsFine-tuningCI/CD
Legacy Modernization with AI
Map, document, and safely refactor legacy systems using agentic tooling instead of month-long manual discovery.
DiscoveryRefactoring
AI Governance & Security
Data handling policy, PII redaction, model routing, and cost controls — reviewed against your compliance requirements.
PII redactionCost control
PAF AI Solutions · The Enterprise Brain
One brain for your whole delivery chain
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.
RequirementsRepositoriesTicketsTest suitesOwners
1
Preserve tribal knowledge
paf-enterprise-brain
$ 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.
2
See impact before you touch code
paf-enterprise-brain
$ 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.
3
Onboard new engineers in days
paf-enterprise-brain
$ 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.
Where clients start
Customer operations
- Support triage and auto-drafted replies
- Knowledge base answering with citations
- Call summarization and QA scoring
Engineering
- AI-assisted test generation and coverage gaps
- Codebase mapping and onboarding guides
- Automated PR review checklists
Back office
- Invoice and contract data extraction
- Claims and application pre-screening
- Reporting and anomaly detection
The AI stack we work in
OpenAIAnthropicGeminiLlamaLangGraphLlamaIndexpgvectorPineconeWeaviateVercel AI SDKPythonTypeScriptAWS BedrockAzure OpenAIModalRay
How an AI engagement runs
- 1
AI Readiness Assessment
Two weeks. We audit your data, workflows, and systems and return a ranked backlog of AI opportunities with effort and ROI estimates.
- 2
Proof of Value
Four to six weeks. One narrow use case shipped to real users, with evaluation metrics and a cost-per-task baseline.
- 3
Scale & Operate
Ongoing. A dedicated AI squad hardens, monitors, and expands what works across the rest of your product.
AI questions we get asked
Will our data be used to train external models?
No. We run under zero-retention API terms wherever available, and your code and data are covered by the existing MSA and NDA.
Can you work with our existing engineers?
Yes — most AI engagements are embedded. Our engineers join your repos, standups, and review process.
What if we don't know where AI fits yet?
Start with the AI Readiness Assessment. You get a prioritized opportunity map even if you never build with us.
How do you control model cost?
Model routing, caching, prompt compression, and per-feature budgets with alerting — reported alongside quality metrics.
