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AISOFTAGENCY
AI & Automation

Custom AI Software Development

Bespoke AI products and internal platforms built around your data, workflows and competitive edge.

  • 8–24 weeks
Overview

When your idea doesn't fit an existing tool, we build it: AI-native products, internal copilots and decision-support platforms engineered for production from the first sprint.

You own the code, the data pipelines and the evaluation assets — a durable advantage rather than a rented feature.

What's included

  • AI product discovery and prototyping
  • Full-stack development
  • Private and on-premise model options
  • Evaluation and observability
  • Security and compliance reviews

Deliverables

  1. 01AI software platform
  2. 02Model evaluation suite
  3. 03Architecture documentation

Technologies

  • OpenAI
  • PostgreSQL
  • Claude by Anthropic
  • Next.js
  • Python
Process

AI delivery process

A de-risked path from AI idea to a measured, production-grade system.

  1. 011 week

    Discovery

    We map the workflow, the decisions inside it and the business case, so AI is applied where it pays back.

    • Use-case map
    • ROI model
    • Success metrics
  2. 021–3 weeks

    Data

    We audit, clean and structure the knowledge, documents and system data the model will rely on — securely.

    • Data audit
    • Knowledge base
    • Access & privacy plan
  3. 032–3 weeks

    Prototype

    A working prototype on your real data within weeks, tested with the people who will actually use it.

    • Working prototype
    • Prompt & retrieval design
    • User feedback
  4. 042–6 weeks

    Integration

    We connect the AI to your CRM, help desk, ERP or internal tools with the guardrails production needs.

    • API integrations
    • Human hand-off flows
    • Guardrails
  5. 051–2 weeks

    Evaluation

    Automated evaluations and human review measure accuracy, safety, latency and cost before go-live.

    • Evaluation suite
    • Accuracy report
    • Cost projections
  6. 06Ongoing

    Production

    Launch with monitoring, analytics and continuous improvement as your data and needs evolve.

    • Monitoring
    • Usage analytics
    • Improvement roadmap
FAQ

Common questions

Is our data safe when using AI models?

Yes. We use enterprise API agreements that exclude your data from model training, encrypt data in transit and at rest, apply role-based access and can deploy private or regional models when compliance requires it.

How do you make sure the AI gives accurate answers?

We ground responses in your approved knowledge with retrieval and citations, test against evaluation sets built from real questions, set confidence thresholds and route uncertain cases to people. Accuracy is monitored continuously after launch.

Which AI models do you work with?

We're model-agnostic. We regularly build with OpenAI, Claude and Gemini as well as open-source models, and select the best option per task based on quality, speed, cost and data requirements.

Let's build what's next

Have a project in mind?

Tell us where you want to go. We'll map the fastest route there — design, engineering, growth and AI included.