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AI Implementations

AI that delivers real results — not demos

We implement AI where it measurably helps: assistants that answer from your data, automation that removes repetitive work, and analytics that surface decisions hiding in your numbers.

AI Implementations
What we deliver

Practical AI, grounded in your data.

AI earns its place when it removes a specific, repeated cost. We look for those places first: invoices and documents typed in by hand, customer questions answered the same way hundreds of times, demand and stock decisions made on instinct. Then we implement assistants, document processing, automation and forecasting that run on your own data, inside the systems your team already uses. Each use case gets a measurable target before we build it, and a clear check after launch on whether it hit that target.

  • AI assistants & chatbots — customer-facing and internal assistants grounded in your documents, catalog and policies.
  • Process automation — document processing, data entry, approvals and reporting automated end-to-end.
  • Analytics & forecasting — demand forecasting, anomaly detection and dashboards that explain themselves.
  • ERP-embedded AI — intelligence built directly into your Odoo, ERPNext or custom systems.
  • Connected assistants (MCP) — one assistant wired into your ERP, CRM, helpdesk and files through open connectors, able to answer and to act.
Capabilities

How we make it work

Use-case first

We identify the two or three highest-value applications of AI in your business and prove them out fast — before any big commitment.

Your data stays yours

Privacy-conscious architectures with clear controls over what data is used, where it flows and who can see it.

Measured outcomes

Every implementation ships with before/after metrics, so the value is visible on a dashboard, not in a slide deck.

Toolset

Platforms & expertise

Claude & LLM APIsMCP Servers & ConnectorsAI AgentsRAG Knowledge BasesWorkflow AutomationSelf-hosted ModelsChatbots (Web / WhatsApp / Telegram)Forecasting Models
Process

From first call to lasting value

01

Assess

Map your processes and data to find AI use cases with genuine ROI.

02

Pilot

A focused proof-of-value in weeks, measured against agreed success criteria.

03

Integrate

Production deployment wired into your ERP, website and communication channels.

04

Scale

Expand what works, retire what doesn't, and keep models and prompts tuned.

Model Context Protocol

Every system you pay for, behind one conversation

Each platform your company runs holds one piece of how it works. The ERP knows the numbers, the CRM knows the pipeline, the helpdesk knows the complaints, the drive knows the documents. Every one of them is a separate brain behind a separate login, and your people spend the day walking between them, copying from one into another. The Model Context Protocol is an open standard for connecting an AI assistant straight to those systems. We build and run the connectors, so a single assistant reads from all of them, acts inside them, and answers in seconds, while you decide exactly what it may see and do.

Your systems Connectors One assistant ERP & financeCRM & salesHelpdeskFiles & documentsDatabases MCP open standard ClaudeGPTGeminiSelf-hosted
  • Ask instead of hunting — Which projects are over budget, which invoices are overdue, what we quoted this client last year: answered from live data, not from an export somebody made on Tuesday.
  • It acts, it does not just answer — Raise the purchase order, assign the ticket, draft the quotation, post the entry. Your approval rules and permissions still apply, and every action is written to an audit trail.
  • Dashboards the moment you need them — Describe the view you want in a sentence and get the chart and the numbers behind it, instead of queueing a report request.
  • One place to put information in — Log the site visit, the expense, the new lead or the meeting note once in plain language, and it lands in the right system with the right fields filled.

The model is your choice

MCP is an open standard, so the connectors are not tied to a vendor. Run Claude, GPT, Gemini or an open model on your own servers, and change your mind later without rebuilding a single integration.

Scoped to the last field

We define every connector with you: which systems, which records, read-only or write, and who may do what. Permissions mirror the roles your people already hold in the ERP.

Deployed where you want it

In the cloud, or entirely inside your own network for data that cannot leave it. Systems you would rather keep out stay disconnected.

AI implementations

Put AI where it pays for itself

We start from the two or three places AI genuinely moves a number in your business, prove them in weeks, then wire the winners into the systems your team already uses.

  • 01
    Assistants grounded in your data

    Answer customer and staff questions from your own catalog, policies and documents, not from the open internet.

  • 02
    Automation that removes the retyping

    Documents read, data entered, approvals routed and reports produced without a person in the middle.

  • 03
    Forecasting you can audit

    Demand and cost models that show their working, so your team can challenge the number before acting on it.

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Start the conversation

Ready to transform how your business runs?

Talk to a Tarynix consultant about your ERP, software, or AI roadmap. No pressure, just a clear and honest assessment of where technology can move the needle for you.

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