What We Offer
Consulting and implementation services designed for fast, practical AI automation — from discovery to deployment.
AI Automation Discovery
We analyze your current workflows and identify where AI can save time, reduce manual work, or improve customer experience.
- Automation opportunity map
- Priority use cases
- Estimated implementation effort
- Expected business value
- Recommended first project
Custom AI Agent Design
We design an AI agent implementation that can follow instructions, use tools, answer questions, trigger workflows, and support your team or customers.
- Sales assistant
- Customer support chatbot
- Internal company copilot
- Document search assistant
- Lead qualification agent
- Proposal drafting and email drafting assistant
Workflow Automation
We connect AI with your existing tools so it can do more than just chat.
- CRM systems
- Email and inbox workflows
- Google Workspace / Microsoft 365
- Notion, Airtable, Slack, Trello, Jira
- Web forms and lead capture
- Internal APIs and databases
RAG and Knowledge Assistants
We build AI systems that can answer questions from your own documents, website, product information, policies, or knowledge base.
- Customer support
- Employee onboarding
- Sales enablement
- Technical documentation
- Legal and compliance documents
- Internal knowledge search
Voice and Chat AI Assistants
We help you add AI-powered chat or voice interaction to your website, application, or internal tools.
- Website AI assistant
- Voice-enabled support bot
- Interactive product guide
- Booking or appointment assistant
- AI onboarding assistant
- Multilingual customer support
AI Readiness and Architecture Review
Already experimenting with AI? We can review your current architecture and suggest improvements.
- Prompting strategy
- RAG architecture
- Tool and API integrations
- Data privacy approach
- Model selection
- Cost and scaling risks
- Security and permission boundaries
Delivery starts once scope and access are confirmed
One agreed production workflow, typically delivered in about 30 days once scope and access are confirmed. Discovery and the written scope come before these delivery weeks. The weeks below are an illustration, not a promised schedule.
Week 1 — Build
Configure the workflow already written into the scope, using the sources and rules that were agreed.
Week 2 — Integrate
Connect the systems named in the scope. A separate demo-ready prototype is a different package when you want to validate an approach before this build.
Week 3 — Test
Run the agreed scenarios, including approval holds and a case where the source is missing or unclear.
The same packages as on Pricing
Four offers, with the same names as on Pricing. Open a package to compare scope and budget.
Automation opportunity report
For companies that want to understand where AI can help.
Includes:
- Workflow review
- Use case discovery
- Automation opportunity report
- Prioritized implementation roadmap
- Recommended first AI project
Best for: Teams that want a clear starting point.
Demo-ready prototype
For companies that want to see a working AI solution quickly.
Includes:
- One selected AI agent use case
- Prompt and workflow design
- Basic tool or document integration
- Demo-ready prototype
- Improvement recommendations
Best for: Teams that want to validate an idea before investing in a larger system.
Production Implementation
For companies ready to launch a practical AI automation.
Includes:
- Build after scope and access are confirmed
- Agent design
- Workflow automation
- RAG or tool integration
- Testing and iteration
- Deployment support
- Handover documentation
Best for: Teams that want a working solution, not just a strategy deck.
Ongoing Support and Improvements
For companies that want continuous AI implementation support.
Includes:
- Monthly automation planning
- Planned improvements inside the retainer hours
- Workflow optimization
- Prompt and RAG improvements
- Monitoring and support
- Team training
Best for: Teams maintaining or expanding an existing Tyon implementation. New workflows may be scoped as separate projects.
What Can We Automate?
Practical AI automation use cases across customer-facing and internal workflows.
Customer Support
Answer customer questions, route requests, summarize issues, and reduce repetitive support work. For a product support queue, see AI agents for SaaS support.
Sales and Lead Handling
Qualify leads, draft responses, update CRM records, and help sales teams respond faster. One written example is an inquiry turned into a qualified client brief.
Internal Knowledge Search
Let employees ask questions across policies, documents, manuals, and company knowledge.
Document Processing
Summarize documents, extract key data, compare versions, and generate structured outputs.
Marketing and Content
Generate drafts, repurpose content, prepare campaign ideas, and maintain brand consistency.
Operations and Admin
Automate status updates, task creation, weekly client reporting, scheduling, and routine communication.
Website AI Assistants
Turn your website into an interactive assistant that explains your services, collects leads, and guides visitors.
Voice AI Assistants
Handle phone intake, appointment booking, call summaries, and follow-up workflows with a voice AI assistant.
Browser Automation
Automate legacy portals, admin dashboards, form filling, and data entry with a browser automation AI agent when APIs are not available.
Practical AI, Built Around Your Business
Tyon combines consulting, implementation, and automation engineering. We do not stop at recommendations — we help you build, connect, and launch the system.
Fast implementation cycles
One agreed production workflow, typically delivered in about 30 days once scope and access are confirmed.
Custom AI agents
Purpose-built agents for your workflows — not generic chatbot wrappers.
Real workflow integration
Connect to CRM, email, documents, APIs, Slack, Teams, and the tools your team already uses, including browser-based systems when no API is available.
Control and security
Human-in-the-loop approvals, RBAC, audit logs, and on-premise deployment when the scope requires it.
How It Works
1. Review
We review the business, workflows, tools, and goals you send. Tyon replies by email to arrange next steps.
2. Use Case Selection
We identify the highest-impact use case that can be implemented quickly.
3. Solution Design
We define the AI assistant, tools, data sources, workflow steps, and success criteria.
4. Prototype or Sprint
We build a working first version and test it with your team.
5. Launch and Improve
We deploy, monitor, refine, and plan the next automation.
Frequently Asked Questions
Do we need to know exactly what we want to automate?
No. The consulting process can start with discovery. We help you identify the best use cases based on your current workflows and business goals.
Can you work with our existing tools?
Yes. Tyon can design AI automations around your current systems, including websites, CRMs, email, documents, internal APIs, and productivity tools.
How fast can we launch something?
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. A wider program takes longer and is quoted separately.
Do you only provide consulting?
No. Tyon combines consulting with implementation. We can help define the strategy and also build the working AI automation.
Can the AI use our internal documents?
Yes. We can build RAG-based assistants that answer questions from your documents, website, manuals, policies, or knowledge base.
Can we keep humans in control?
Yes. We can design workflows where AI drafts, recommends, summarizes, or prepares actions, while people approve important steps.
Is this only for large companies?
The primary path is operations teams at service businesses. Other teams can use the same packages when the work is one scoped workflow. Agency and reseller arrangements are a separate conversation on Pricing.