02 · Engineer — Forward-Deployed Engineering

Engineers in your team. AI in production.

Engineers embedded with the people who own the problem, shipping AI into the systems you already run.

  • Fixed scope, fixed cost
  • Works in your stack
  • Full ownership handover
The difference

What changes with Xendex.

Before
With Xendex
BeforePrototypes stuck in the lab
With XendexSystems live in production, integrated end to end
BeforeAI bolted on beside your tools
With XendexAI inside your CRM, ERP and workflows
BeforeBlack-box vendor code
With XendexCode, docs and runbooks your team owns
Before“It worked in the demo”
With XendexEvaluated, monitored and governed
What's delivered

Forward-Deployed Engineering, end to end.

AI Agents & Copilots

Assistants that take real actions inside your tools — with approvals where it matters.

  • Tool use
  • Approvals
  • Audit trail

Knowledge Assistants (RAG)

Grounded answers over your documents, with citations and permissions.

  • Hybrid search
  • Citations
  • RBAC

Document AI

Extract, classify and validate data from forms, invoices and contracts.

  • OCR
  • Extraction
  • Validation

System Integration

Connect AI to CRM, ERP, ticketing and messaging — no rip-and-replace.

  • APIs
  • Webhooks
  • Events

Production Hardening

Evals, guardrails, monitoring and cost controls before go-live.

  • Evals
  • Guardrails
  • Observability
How it's delivered

A clear path, with something to show at every step.

Each stage ends with a tangible output — so progress is visible, not promised.

Technology used

  • GPT
  • Claude
  • Gemini
  • Llama
  • Mistral
  • LangGraph
  • LlamaIndex
  • MCP
  • pgvector
  • Elasticsearch
  • Qdrant
  • AWS
  1. Embed

    Sit with the team that owns the problem and learn how work really happens.

    • Process map
    • Success criteria
  2. Scope

    Agree outcome, architecture, safeguards and acceptance criteria.

    • Solution design
    • Fixed-scope plan
  3. Build

    Short sprints inside your environment, reviewed together.

    • Working increments
  4. Validate

    Test quality, security and business impact against the criteria.

    • Eval report
    • Security review
  5. Hand over

    Docs, training and runbooks — your team runs it.

    • Runbooks
    • Training
    • Source code
Proof

Already in production.

Conversational AI · HR

Policy answers without the ticket queue.

A context-aware assistant over HR policies and internal tools — instant, cited answers with role-based access and a full audit trail.

Read the case study

HR policy assistant answering an employee question with sources
FAQ

Questions, answered.

Can the work happen inside an existing environment?

Yes — your cloud, your repositories and your security policies.

Who owns the code?

You do. Everything is handed over with documentation, runbooks and training.

What if requirements change mid-way?

Short sprints with review points mean scope is adjusted openly, never silently.

Is pairing with internal engineers possible?

That's the point — engineers pair with your team so the knowledge stays in-house.

Got a prototype that needs to ship?

Share the problem and your stack. A focused path to production is defined from there.