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Services

What we design, build, and run

Six disciplines, one delivery team. Every engagement starts with a workflow audit, and every build ships into the systems you already operate.

Audit-firstscoped before builtCode + no-codehybrid deliveryKPI-trackedmeasured outcomes

A consultant mapping workflow steps on a wall of sticky notes while the team looks on
Mapping an approval chain during a workflow auditfig. 02

  1. Process mining & audit

    Python · LangChain

    We map how work actually moves through your team, quantify where hours are lost, and rank the automation opportunities by expected return before anything is built.

    Includes: process discovery, bottleneck analysis, ROI forecasting.

  2. Document processing

    Computer vision · NLP models · Vector stores

    OCR and NLP pipelines that turn invoices, contracts, and reports into structured data, with validation rules that catch errors before they reach your ledger.

    Includes: data extraction, multi-format support, validation rules.

  3. Conversational AI agents

    CrewAI · Vapi · Twilio

    Chat and voice assistants that answer routine queries, schedule meetings, and trigger workflows, escalating to a person whenever the conversation needs one.

    Includes: multi-channel support, context retention, workflow integration.

  4. No-code workflow orchestration

    Power Automate · Zapier · n8n

    Power Automate and Zapier flows for the connectors that already exist, backed by custom Python microservices where the logic gets complex.

    Includes: visual flow builds, existing-system connectors, custom connectors.

  5. API development & integration

    Next.js · FastAPI · Kubernetes

    REST and GraphQL services that connect legacy systems to modern AI tooling, built to run in your cloud, monitored, and documented for your team.

    Includes: microservices, real-time sync, auto-scaling deployments.

  6. Custom AI model work

    Hugging Face · Pinecone · MLflow

    Retrieval-augmented systems and fine-tuned models built on your own data, for the cases where an off-the-shelf model is not accurate enough.

    Includes: fine-tuning, RAG systems, model monitoring.

Not sure which of these fits your problem? The audit exists to answer exactly that. See how we approach real scenarios · How we work

Tell us which process hurts the most. The audit maps what's automatable, and what it's worth.

Book a workflow audit