AI agent development services

Custom AI agents that automate real work, not just chat.

SheltSoft designs and builds AI agents for support, operations, sales, and knowledge workflows. We connect models to your systems, add the right controls, and turn experiments into dependable business tools.

Custom workflows and tool use
Secure integrations and approvals
Built for real operations
Where AI agents create value
  • Customer support agents grounded in your policies, product docs, and ticket history.
  • Internal workflow agents that move work across Slack, email, CRMs, ERPs, and custom back-office tools.
  • Research and sales enablement agents that qualify leads, prepare briefs, and assemble answers faster.
  • Document and knowledge agents that extract, classify, summarize, and route information with approvals.

How we make AI agents useful for your business

Our focus is not generic AI. We build agent solutions around the workflows, controls, and integrations your team actually needs.

Built around business workflows

We start from the process you want to improve, not from a demo prompt. That keeps the solution tied to response times, throughput, cost, or conversion.

Integrated into your stack

Agents are only useful when they can act. We connect them to your source systems, permissions, APIs, and communication channels.

Human-in-the-loop by design

Approvals, escalation paths, confidence checks, and audit trails are part of the product, not an afterthought.

Production-ready delivery

Observability, prompt versioning, testing, and safe rollout matter as much as the model itself.

Common AI agent use cases

The best first deployments usually sit where teams lose time to repetitive coordination, fragmented knowledge, or slow manual routing.

  • Support deflection and faster agent assist
  • Lead qualification and sales research
  • Knowledge retrieval for operations and HR
  • Inbox and request triage
  • Document intake and workflow automation
  • Cross-system copilots for internal teams

How SheltSoft delivers AI agent projects

1. Discovery and opportunity mapping

We identify the workflows with the strongest ROI, the systems involved, and the control points needed for safe automation.

2. Pilot with a clear success metric

We ship a focused pilot around one use case, measure quality and business impact, then refine retrieval, tools, and guardrails.

3. Production rollout and scaling

Once the workflow proves itself, we harden the architecture, expand integrations, and roll the solution into wider operations.

Need AI agents that work inside your business, not beside it?

We can help you define the right use case, choose the right architecture, and ship a production-ready agent with clear operational value.