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AI automation that survives contact with your business

We build agentic workflows on LangChain and LangGraph, with retrieval over your own documents and data. The systems stop for a human where they should, and every run is recorded.

Built in Lahore. Three to six weeks, typical.

What we build

Three layers. Most projects use all three, and none of them is worth much on its own.

Agentic workflows

Multi-step workflows on LangChain and LangGraph that hold state, call your systems, and stop for a human when the decision is expensive.

Retrieval over your data

A RAG layer over your documents, tickets and database, so a question in plain language is answered from what your business actually holds.

Model integration

Language models wired into the systems you already run: your ERP, your CRM, your inbox. No second place for your team to go and check.

What you get at handover

You should be able to fire us and keep the system running. These are the three things that make that true.

  • The code, and it is yoursFull source, in your repository, under your licence. Prompts, tools and evaluation cases included, so the system can be changed without us.
  • Written process documentationWhat each workflow does, what it costs to run, where it hands off to a person, and what to do when it fails. Written for your operators.
  • Traces and a run dashboardEvery run recorded in LangSmith with inputs, outputs and cost. When output looks wrong you can open the exact run and read it.

How the weeks go

A typical engagement runs three to six weeks, with a working demo at the end of every week.

  1. Weeks1-2Map the processWe sit with the people doing the work and write down each step. Some steps should not be automated at all, and we say which.
  2. Weeks3-4Build and testWorkflows built against real cases from your business, reviewed with you weekly. You see failures as well as successes.
  3. Weeks5-6Deploy and hand overLive on your infrastructure or ours, your team trained on it, and a written runbook for the first month of operation.

Where it earns its keep

The four shapes of work we are asked for most often.

Document processing

Pull structured fields out of invoices, contracts and forms, then route them into the workflow that acts on them. No retyping.

  • Invoice field extraction
  • Contract analysis and summary
  • Form processing
  • Document classification

Customer support

Support agents that read your knowledge base, answer what they can answer, and escalate the rest with the context attached.

  • Knowledge base question answering
  • Ticket classification and routing
  • Response drafting
  • Escalation workflows

Analysis and reporting

Ask a question about your data in plain language, in Urdu or English, and get the answer out of the live database.

  • Natural language queries
  • Scheduled report generation
  • Anomaly detection
  • Trend analysis

Sales and marketing

Lead scoring against your own closed-won history, drafted outreach a person still approves, and follow-up that reacts to replies.

  • Lead scoring
  • Outreach drafting
  • Content summarisation
  • Competitor monitoring

The stack we run in production

Stated as fact, not as a partner wall. We are not affiliated with any of these vendors.

LayerWhat we use
OrchestrationLangChain, LangGraph, custom agent graphs
ModelsOpenAI, Anthropic Claude, Google Gemini, Llama and Mistral
Vector searchPinecone, Weaviate, Qdrant, PostgreSQL with pgvector
ObservabilityLangSmith traces, cost and latency per run
HostingGoogle Cloud, AWS, or a server you own

Questions we get asked about automation

Bring us the process that eats your week.

A 30 minute call. We walk the process with you and say which parts are worth automating and which are not. On the WhatsApp line we reply the same working day.

Book a call