AI AGENT IMPLEMENTATION · AFTER SCOPE IS CONFIRMED

AI Agent Implementation — From Discovery to Production

Tyon designs, builds, integrates, and launches custom AI agents that answer from your knowledge, act inside your tools, and automate real workflows — typically delivered in about 30 days once scope and access are confirmed. Discovery and the written scope come before that delivery period.

Scope a Working AI Agent See Use Cases
  • Discovery and use-case selection
  • Agent design and prototyping
  • System integration and testing
  • Production launch with handover
  • Roadmap for next automations
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Implementation, Not Just Strategy

Tyon combines consulting with hands-on engineering — we do not stop at recommendations, we build, connect, and launch the system.

Many companies struggle to move from AI experiments to production systems. Tyon’s AI agent implementation service covers the full lifecycle: workflow audit, agent architecture, RAG setup, tool integrations, approval workflows, testing, deployment, and team handover. One example is an inquiry email turned into a qualified client brief.

We focus on one production workflow first — tested with real users, improved with feedback, and expanded step by step. That approach delivers measurable value fast without months of open-ended development.

Implementation deliverables:

  • Workflow audit and opportunity map
  • Agent design with skills and tools
  • RAG or knowledge base integration
  • CRM, email, and API connections
  • Approval gates and audit logging
  • Launch support and documentation

What Implementation Includes

Three pillars of a production-ready AI agent deployment.

Agent design

Purpose-built agents with defined skills, tools, escalation rules, and personality — tailored to your department or use case.

System integration

Connect to CRMs, helpdesks, email, documents, calendars, APIs, Slack, Teams, and browser-based systems.

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Secure deployment

RBAC, human approval gates, action logs, encrypted storage, and cloud, private cloud, or on-premise options.

Common Implementation Projects

Where teams start their first AI agent implementation.

Support copilot

Answer from documentation, route tickets, draft replies, and escalate with citations and context.

Sales assistant

Qualify leads, update CRM, draft proposals, and notify reps when high-value opportunities appear.

Internal knowledge agent

Let employees search policies, SOPs, and manuals with cited, grounded answers.

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Onboarding agent

Guide new hires through checklists, answer HR questions, and create tasks in your systems.

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Browser automation agent

Automate legacy portals and admin dashboards when APIs are not available.

Voice-enabled agent

Deploy the same knowledge and automation layer across chat and phone channels.

How It Works

One agreed production workflow, typically delivered in about 30 days once scope and access are confirmed. Discovery and the written scope come before that delivery period.

1. Discovery Call

We review your workflows, tools, data sources, and success criteria.

2. Solution Design

We define the agent, integrations, approval gates, and launch plan.

3. Build & Integrate

We connect your documents, APIs, and systems into a working prototype.

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4. Test & Refine

Real users test the workflow. We tune prompts, rules, and reliability.

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5. Launch & Expand

Deploy to production with audit logs, training, and a roadmap for the next automation.

One Agreed Workflow, About 30 Days After Scope

Tyon focuses on one end-to-end automation first — tested with real users, improved with feedback, and expanded step by step.

Plan Your First Workflow

Why Teams Choose Tyon

Custom AI agents that answer, act, and automate — not generic chatbot wrappers.

Fast implementation

One agreed production workflow, typically delivered in about 30 days once scope and access are confirmed. Discovery and the written scope come before that delivery period.

Real integrations

Connect to CRM, email, documents, APIs, Slack, Teams, and browser-based systems.

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Security built in

RBAC, human approval gates, action logs, and flexible deployment options.

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Measurable outcomes

Agents that answer, act, and automate — with logged, reviewable actions.

Ready to Implement Your First AI Agent?

We will identify your highest-impact use case and deliver a realistic implementation plan — not a strategy deck.

Get an Implementation Plan Try the Demo

Frequently Asked Questions

Discovery, agent design, knowledge integration (RAG), tool and API connections, approval workflows, testing, production deployment, team training, and handover documentation.

One agreed production workflow is typically delivered in about 30 days once scope and access are confirmed. Discovery and the written scope come before that delivery period. More complex work can take longer, and that is settled in the written scope.

No. Tyon handles design, build, and launch. We hand over documentation and can continue as an ongoing implementation partner if needed.

Yes. We design agents around your current stack — CRMs, helpdesks, email, documents, productivity tools, and internal APIs.

Tyon is model-agnostic. You can use OpenAI, Anthropic, Google, Azure, open-source models, or a combination — without rebuilding your agents.

We monitor, refine, and plan the next automation. Many clients continue with an ongoing implementation partnership.