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RayneOps Solutions

RayneOps AI Automation Services

AI automation built around how your business actually runs.

We design, build and hand over AI workflows, agents and integrations. One process at a time, tested on real examples, with a person approving the steps that matter.

Illustrative workflowHuman checkpoint
  1. Input
  2. AI-assisted classify
  3. Rules
  4. Human review when unsure
  5. Logged outcome

Problems we address

Operational work that slows good teams down

Automation is worth it when it removes a specific, repeated cost. These are the patterns we look for first.
  • Enquiries wait too long

    Requests arrive faster than they can be sorted, and the important ones are not always answered first.

  • The same details are typed twice

    Information moves between tools by copy and paste, and errors are found late.

  • Knowledge is hard to find

    Answers exist in documents and inboxes, but finding them takes longer than it should.

  • Routine steps take skilled time

    Multi-step administration fills hours that could go to work that needs judgement.

  • Requests rely on memory

    Internal requests and approvals move through messages, and status means chasing.

  • Generic tools do not fit

    Off-the-shelf AI covers the general case, but not your data, rules and steps.

Solutions

Six areas of automation work

Each is a service we scope and build for you, not a product you subscribe to.
Compare all six

AI Agents & Task Automation

Task-focused AI agents that work through defined, multi-step processes with limited tool access and approval points before consequential actions.

Business Systems Integration

Integrations between the CRM, forms, finance and operations tools you already use, with monitoring so failed transfers are visible.

Document & Knowledge Automation

Document intake, classification and extraction, plus grounded search across your own documents, with source citations and a review step.

Digital Workplace Solutions

Structured internal workflows for requests, approvals, coordination and knowledge access, built on the tools your team already uses.

Custom AI Systems

Tailored AI applications and agent integrations, scoped around one measurable outcome and built to be tested, observable and maintainable.

Example workflows

What a workflow looks like, step by step

Illustrations of the kind of workflow we design. They are not descriptions of delivered client projects.
  • Trigger
  • AI-assisted
  • Automated
  • Human checkpoint
  • Outcome

An enquiry from first message to human follow-up

A customer submits an enquiry through a website form.

Illustrative workflow
  1. Step 1, TriggerEnquiry receivedA web form submission arrives with the customer's message.
  2. Step 2, AI-assistedCategorizedTopic and urgency are identified, with a confidence level.
  3. Step 3, AI-assistedResponse draftedA reply is prepared from your approved answers and templates.
  4. Step 4, Human checkpointApproval ruleRoutine replies follow your rules; anything uncertain waits for a person.
  5. Step 5, AutomatedRoutedThe request and a summary are assigned to the right team member.
  6. Step 6, OutcomeFollowed upThe conversation is logged and a follow-up is scheduled if needed.
More on Customer Enquiry & Communication Automation

A business document turned into structured information

A sample document, such as an agreement or application form, arrives for processing.

Illustrative workflow
  1. Step 1, TriggerDocument receivedA file arrives by email, upload or shared folder.
  2. Step 2, AI-assistedClassifiedThe document type is identified so the right fields are expected.
  3. Step 3, AI-assistedFields extractedKey details are extracted with a confidence level for each.
  4. Step 4, Human checkpointReview queueLow-confidence or missing fields are checked by a person.
  5. Step 5, AutomatedWritten to systemsApproved data is written to the target system or spreadsheet.
  6. Step 6, OutcomeStructured recordA structured record with a link back to the source document.
More on Document & Knowledge Automation

Automation with a person where it matters

Every workflow we design has explicit approval points. You decide what runs on its own and what waits for a person.

  • People approve what matters

    Actions that send, commit, pay or delete wait for a named person unless you decide otherwise.

  • Uncertainty goes to a person

    When confidence is low, the workflow hands over with the context gathered so far, instead of guessing.

  • Everything is logged

    Inputs, decisions and actions are recorded so you can see what happened and why.

  • Access is limited

    Each workflow gets only the permissions it needs, using credentials held outside the code.

Delivery approach

From first conversation to handover

A written proposal comes before any build, and testing comes before anything runs unattended.
How we work
  1. 01

    Discovery

    We learn how the work is done today, who is involved, and where time or quality is lost.

  2. 02

    Workflow assessment

    We map the process step by step and identify which steps can be automated, which need judgement, and which should stay as they are.

  3. 03

    Solution design

    We agree the scope of a first version, how it will be measured, and what it will deliberately not do.

  4. 04

    Implementation

    We build against your real tools in small increments, so you can see progress and adjust early.

  5. 05

    Testing and validation

    We test on real examples before anything runs unattended, and record the known limits.

  6. 06

    Handover and support

    You receive documentation, training for the people who run it, and support terms agreed in writing.

Demonstrations

Recorded demonstrations of working systems

We publish a demonstration only when it shows a working system, with an explanation of what it does and does not prove.

Demonstrations are being prepared. Contact us to discuss a relevant workflow.

Each demonstration will be published only once it shows a working system. Until then, we are glad to talk through how a workflow like yours could be designed.

Questions

Before you get in touch

Do you publish fixed prices?

No. Cost depends on the process, the systems involved and the level of oversight needed. After an initial conversation we provide a written proposal with scope and pricing before any work begins.

How long does a project take?

It depends on scope. We usually recommend a small first phase that can be tested quickly, and we give a timeline estimate in the proposal rather than a promise up front.

Will the automation act without a person?

Only where you decide it should, and only after testing. Consequential actions keep a human approval step by default.

Which AI models and tools do you use?

We choose per project, based on the task, data sensitivity, cost and your preferences. Where data is sensitive, we agree acceptable providers and settings with you before processing anything.

Do you only work with particular industries?

No. The examples on this site mention real estate, hospitality and professional services to make the workflows concrete, but they are illustrations, not a list of past clients.

Can we see a demonstration?

Demonstrations are being prepared and will be published on the demonstrations page once they show working systems. Until then, we are happy to walk through a relevant workflow with you.

Tell us which process takes the most time

A short description is enough to start. We will tell you honestly whether automation fits, and what a sensible first step would involve.