Services

AI app development that ships to production, not slide decks

Custom agents, copilots, and AI-native product features with tool use, memory, guardrails, and monitoring built in from day one.

Adding AI to a product is easy. Shipping AI that users trust, that stays within budget, and that does not leak data is hard. Impactful Tech builds production AI applications - embedded copilots, autonomous agents, RAG search, and workflow automations - using the same sprint discipline we apply to mobile and web products.

AI products we deliver

From customer-facing assistants to internal ops agents, we design AI features around real tasks: research, drafting, routing tickets, summarising documents, and executing multi-step workflows across your tools.

  • ✓ In-product copilots with your data and business rules
  • ✓ Autonomous agents with tool calling and API integrations
  • ✓ RAG pipelines over docs, tickets, and knowledge bases
  • ✓ AI workflow automations across CRM, email, and Slack

Built for safety and scale

Every agent gets explicit guardrails: what it can access, what it must escalate, and how outputs are validated before they reach users or customers. We instrument latency, cost, and quality so you can tune models and prompts with real data.

  • ✓ Prompt and context design tied to success metrics
  • ✓ Human-in-the-loop flows where stakes are high
  • ✓ Cost controls and model routing (fast vs capable)
  • ✓ Evaluation harnesses before and after launch

From prototype to production

We do not disappear after a demo. Agent discovery defines roles, tools, and failure modes. Build sprints test against real scenarios in sandboxed environments. Deployment includes monitoring, feedback loops, and iteration based on live usage.

  • ✓ Agent architecture and integration design
  • ✓ Two or more focused build sprints
  • ✓ Staging and production rollout with observability
  • ✓ Ongoing tuning under maintenance retainers

Frequently asked questions

What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An agent takes action: it calls APIs, updates records, routes work, and completes multi-step tasks. We build both, but agents require tighter guardrails, tool design, and evaluation - which is where most DIY AI projects fail.

Which models and providers do you use?

We are model-agnostic: OpenAI, Anthropic, Google, and open-weight models depending on latency, cost, and data residency requirements. The right model is chosen per task, not locked in upfront.

How do you keep AI costs under control?

Caching, smaller models for simple steps, batching, and clear token budgets per feature. We set cost alerts and review usage weekly during build and in maintenance.

Can you add AI to our existing web or mobile app?

Yes. Most of our AI work extends existing products rather than greenfield builds. We audit your stack, data access patterns, and UX, then ship AI features incrementally without rewriting the whole product.

Ready to scope your project?

Book a free strategy session. We will map your bottleneck and recommend the smallest sprint that moves the needle.

Book an AI product strategy session