RyntechConsulting
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AI, agents and automation

Put AI to work in your processes, not in a demo.

Consulting firms, marketing agencies, service-sector SMEs: your teams spend hours qualifying, copying, summarising and chasing. We identify those tasks, then design reliable agents and automations connected to your tools, with a human keeping control of the decisions.

Discuss your project

Sound familiar?

  • Inbound enquiries are sorted by hand, and the best ones are left waiting.
  • Every commercial proposal starts again from a blank page.
  • Useful information is scattered across emails, files and the CRM.
  • You have tried AI tools, but they have not changed day-to-day work.

What we deliver

  1. 01

    Use-case diagnostic

    A map of repetitive tasks, an estimate of value and risk, and the choice of a first high-impact case.

  2. 02

    Connected AI agents

    Agents that read, classify, draft or reply from your data, with human validation at sensitive steps.

  3. 03

    End-to-end automation

    Workflows across forms, email, CRM, ERP and spreadsheets, logged and supervised.

  4. 04

    Assistant on your documents

    An internal assistant that answers by citing your procedures, offers and contracts, without exposing data outside its scope.

  5. 05

    Adoption and governance

    Usage policy, team training, privacy rules and monitoring of answer quality.

How we work

Technologies

  • Large language models (LLMs)
  • Retrieval-augmented generation (RAG)
  • Agents and tool calling
  • API orchestration
  • Vector databases
  • Webhooks and task queues

  1. Identify

    A business workshop to list the tasks and their real cost.

  2. Prototype

    A prototype on your real data, evaluated with your teams.

  3. Industrialise

    Integration, security, logging and error recovery.

  4. Measure

    Indicators agreed together before launch, and reviewed afterwards.

Related use cases

Typical use cases drawn from the needs we meet most often. Each describes a problem, a solution and what will be measured. None is a client or a published result.

Typical use caseMarketing agency

An agent that qualifies every enquiry the moment it arrives

Problem
Enquiries arrive by form, email and social media; the team sorts them by hand and sometimes replies too late.
Solution
An agent reads each enquiry, enriches it, scores it against your criteria, creates the record in the CRM and suggests a reply for the team to approve.
Deliverables
  • Qualification agent
  • Form, email and CRM connectors
  • Tracking dashboard

Tracked metric Time to first response and share of qualified enquiries

AI, agents and automation

Typical use caseConsulting firm

Commercial proposals that no longer start from a blank page

Problem
Each proposal ties up a senior consultant for hours, tracking down references and rewording a methodology.
Solution
An assistant searches your past engagements and templates, then assembles a sourced first draft that the consultant refines.
Deliverables
  • Indexed document base
  • Drafting assistant with citations
  • Access rules by team

Tracked metric Time taken to prepare a proposal

AI, agents and automation · Custom software

Typical use caseService-sector SME

From order to payment reminder, without re-keying

Problem
Quotes, orders, invoices and reminders live in separate tools; errors and omissions cost cash flow.
Solution
An ERP configured for your workflows, with automated reminders and a cash-flow dashboard.
Deliverables
  • Configured ERP with migrated data
  • Automatic reminders
  • User training

Tracked metric Average payment time and number of re-keyed entries

ERP: installation and maintenance · AI, agents and automation

Typical use caseSoftware vendor or distributor

A support assistant that answers from your documentation

Problem
The same questions come back every day and tie up the support team.
Solution
An assistant that answers by citing your documentation, escalates to a human when it is unsure and flags gaps in the documentation.
Deliverables
  • Assistant embedded in the website or support tool
  • Escalation to the team
  • Report of unanswered questions

Tracked metric Share of questions resolved without escalation

AI, agents and automation

Frequently asked questions

Will our data be used to train a public model?

No. We choose providers and configurations that exclude training on your data, and we limit what is transmitted to the strict minimum.

Do we need clean data already?

No. The diagnostic assesses what exists. A first use case can often start on emails, documents or a CRM exactly as they are.

What happens when the AI gets it wrong?

Every automation includes confidence thresholds, human validation at sensitive steps and a log so that errors can be corrected and the system improved.

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