PAFTESTINGIT STAFF AUGMENTATION

AI Development & Transformation

Ship real AI features, not demos

AI-fluent nearshore teamsStart in 2 weeksE&O insured

Our engineers build LLM-powered products, agentic automations, and retrieval systems that hold up in production — with evaluation, cost control, and data governance in place from the first sprint. And they use AI tooling daily on your codebase, so delivery speed compounds.

Schedule a CallSee our work

What 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
Introducing Paftesting AI Codebase Intelligence

See Your Codebase, Powered by Agentic AI

Give your engineers and ours a live, shared map of your system — cutting onboarding time and de-risking legacy modernization.

OnboardingMigrationRefactoringDocumentationData Flow
Request a Demo
1

Preserve tribal knowledge

paf-intelligence
$ paf map --scope billing-service
→ indexing 412 modules ...
→ 38 domain rules captured
✓ living system map updated

Problem

Knowledge disappears the moment engineers roll off the project.

With Paftesting

Architecture and business logic captured in a living system map.

2

See impact before you touch code

paf-intelligence
$ paf impact PaymentGateway.charge()
→ 17 direct callers
→ 4 downstream services
⚠ blast radius: checkout, refunds

Problem

Legacy systems are risky to change blind.

With Paftesting

Visual dependency mapping shows blast radius before any change ships.

3

Onboard new engineers in days

paf-intelligence
$ paf explain order-pipeline
→ entry points, owners, contracts
→ 6 guided walkthroughs generated
✓ ramp-up plan ready

Problem

New hires need months to become productive in opaque systems.

With Paftesting

A live map replaces guesswork and shortens ramp-up time.

10M+

lines of code mapped

8+

active projects

5x

integrations supported

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
See our full stack

How an AI engagement runs

  1. 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. 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. 3

    Scale & Operate

    Ongoing. A dedicated AI squad hardens, monitors, and expands what works across the rest of your product.

Book an AI readiness call

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.

TravcodingVelirOlivineMcGowanDailyKosGoMedia

Put an AI-fluent team on your roadmap this month

Schedule a Call