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EDYNORA

Services

Services for smarter, less repetitive work

Each service starts with the problem you need solved. Scope and pricing are agreed per engagement after an initial consultation.

01

AI workflow automation

Design and build automated workflows that combine AI models with your existing tools, so routine tasks move without manual hand-offs.

Problems this addresses

  • Staff copy data between email, spreadsheets, and business systems by hand
  • Requests, documents, or tickets wait in queues for simple triage
  • Repetitive drafting or summarising work takes time from higher-value tasks

Typical deliverables

  • Workflow map of the current and proposed process
  • Working automation built on tools you already use where possible
  • Human review checkpoints for AI-generated output
  • Runbook covering monitoring, failure handling, and ownership
02

Business process optimization

Examine how work actually flows through your team, find the bottlenecks, and decide what should be simplified, automated, or left alone.

Problems this addresses

  • Processes have grown informally and nobody owns the whole flow
  • Unclear where automation would help and where it would add risk
  • The same information is entered in several places

Typical deliverables

  • Process discovery sessions and documented current-state flow
  • Prioritised list of improvement opportunities with effort and risk notes
  • Recommended future-state process and implementation sequence
03

AI implementation and consulting

Practical guidance on where AI fits in your operations, which tools are appropriate, and how to introduce them with clear controls.

Problems this addresses

  • Pressure to "use AI" without a clear use case
  • Uncertainty about data privacy, accuracy, and vendor selection
  • Pilots that never move into everyday use

Typical deliverables

  • Use-case assessment and selection criteria
  • Tool and vendor comparison for shortlisted options
  • Pilot plan with success criteria agreed in advance
  • Usage guidelines covering data handling and human oversight
04

Custom software and web development

Websites, web applications, and internal tools built to fit the way your organisation works, with maintainable code and clear documentation.

Problems this addresses

  • Off-the-shelf software does not fit a core process
  • An outdated website no longer represents the business
  • Internal tools live in fragile spreadsheets

Typical deliverables

  • Requirements and scope document
  • Responsive, accessible website or web application
  • Deployment, hosting configuration, and handover documentation
05

Corporate AI training and enablement

Hands-on training that helps teams use AI tools effectively and responsibly in their own day-to-day work.

Corporate training through Edynora Academy →

Problems this addresses

  • Staff use AI tools inconsistently or avoid them entirely
  • No shared understanding of what data is safe to use with AI tools
  • Leaders need a realistic picture of capabilities and limits

Typical deliverables

  • Training sessions tailored to roles and real tasks
  • Prompting and review practices for common workflows
  • Reference materials and internal usage guidelines
06

AI productivity systems

Personal and team systems for knowledge capture, drafting, research, and planning that use AI where it saves effort and keeps people in control.

Problems this addresses

  • Knowledge is scattered across documents, chats, and inboxes
  • Recurring reports and updates are assembled by hand
  • Teams lack a consistent way to reuse good prompts and templates

Typical deliverables

  • Configured workspace and templates for recurring work
  • Shared prompt and template library
  • Short guide for maintaining and extending the system

Consultation process

What working with Edynora looks like

  1. Step 1

    Initial consultation

    A conversation about your goals, the processes involved, and any constraints such as budget, timelines, or data sensitivity. There is no obligation to proceed.

  2. Step 2

    Discovery and assessment

    We review the current workflow with the people who do the work, document it, and identify realistic opportunities and risks.

  3. Step 3

    Written proposal

    You receive a scope describing deliverables, responsibilities, timeline, and pricing for that specific engagement.

  4. Step 4

    Delivery in stages

    We build in small increments and test with your team, so issues are found early and the result fits how you work.

  5. Step 5

    Handover and support

    Documentation, training where needed, and an agreed approach for maintenance or further improvement.

Results depend on your processes, data, and systems, so we do not promise specific savings or outcomes in advance. Success criteria are agreed with you as part of each proposal.

Have a process that takes too much manual effort?

Tell us how the work happens today. We will help you decide what to automate, what to simplify, and what to leave alone.