Tangensys • Plan, deliver, measure
AI workflow automation
Map the process and its exceptions before connecting tools. Automating a confusing workflow can make its mistakes happen faster.
The work to plan together
A scope shaped around this requirement.
- Process mappingScope
- Workflow buildReview
- AI steps with checksCheck
- Approved informationWhat the tool is allowed to use
- Routine stepHandled automatically
- Human hand-overYour team takes over when needed
- Regular reviewOutputs checked and corrected
In short
What does AI workflow automation involve?
AI workflow automation connects your tools with platforms such as n8n, Make or Zapier, adding AI steps to sort, summarise or route work.
When AI workflow automation is a useful fit
Teams doing repetitive admin
Choose a repeatable task with stable inputs and a measurable reduction in rework.
Agencies
Connect briefing, status and handover without letting automation publish unapproved client work.
Operations teams
Define failure handling and who can intervene when a step cannot complete safely.
Problems worth addressing first
Use these situations to identify the work that deserves attention before expanding the scope.
- Staff copy data between tools
- Reports take hours to compile
A practical example
A weekly report can gather approved data, produce a draft summary and wait for review before sending. If one source fails, it should flag the gap.
This is an illustrative scenario to explain the approach, not a claimed client project.
The work we can include
The final quote identifies the deliverables, quantities, approvals and exclusions. Select the work that serves your goal rather than assuming every item is required.
- Process mapping
- Workflow build
- AI steps with checks
- Monitoring
Where we usually begin
Access permissions, retries, approval points and monitoring are scoped. External tools and models have separate limits and usage charges.
Practical detail
A manual handover becomes a controlled flow
Imagine staff copying accepted enquiries from email into a project board. The improved flow can reduce re-entry while keeping exceptions visible.
| Part of the work | Example output | How to review it |
|---|---|---|
| Before | Read email, copy fields, assign owner and send acknowledgement | Record where information is lost or work is repeated. |
| After | Validate request, create one task and notify the owner | Required fields and duplicate rules are enforced. |
| Human decision | Unclear service choice or an exceptional request | The flow asks for review rather than inventing a category. |
| Recovery | Unavailable board or notification failure | A queued item can be retried and reconciled without duplicate tasks. |
The handover includes triggers, field mappings, stop rules, access owners and failure instructions. Time saved should be measured against the same task before and after the change.
Map exceptions before automating the routine
Workflow automation is most effective where the inputs and rules are understood. Map the current sequence, handoffs and common exceptions. Adding AI to an unclear process can move mistakes faster rather than remove them.
Choose where deterministic rules are sufficient and where language interpretation may help. A fixed routing rule does not need a model. A document summary may, but it should preserve the underlying record and allow review before an important decision.
Test missing information, repeated events and unavailable systems. Keep an operator-visible failure path and a way to pause the workflow. Measure completed valid tasks and exception handling, not only the number of automated steps.
Free AI project review
Start with a clear scope and a practical next step.
Tell us what you want to improve and share the relevant website or project details. We will review the starting point, recommend a suitable scope and provide a custom quote.
The initial review is free. Delivery, third-party charges and ongoing support are quoted separately.
Process
How the work is delivered
Review the starting point
Review the current setup, examples of the problem and the information needed to agree the work.
Agree scope and sign-off
We start with real examples of the task and approved information. A small, clearly defined pilot tests usefulness, failure cases and the level of human oversight before wider rollout.
Deliver and review
Evaluation includes inaccurate answers, unavailable tools and uncertain requests. Provider charges, monitoring and updates are defined separately; the business keeps an accountable human owner.
Hand over the next steps
Review the agreed outputs together. Confirm what your team maintains and what needs a separate ongoing arrangement.
What progress should mean
Measures that match the work
Measure completed tasks, exceptions, processing time and manual effort using comparable samples. Log failed steps so the team can recover without rerunning everything.
A record of delivery
See what was completed, reviewed and still dependent on access or approvals. Project delivery and business results are reported separately.
Clear limits in the data
We explain what can be verified and where a result is only an estimate. Contact clicks, conversations and sales are different actions.
Scope and responsibilities
You keep ownership of your business accounts and approved deliverables under the agreed contract. Any third-party licences, subscriptions or usage fees are identified before you commit.
How do we choose the first workflow to automate?
Look for repeated work with accessible inputs, clear ownership and manageable consequences. Document the current time and error points, then define a small, clearly defined pilot. High-impact actions or poorly understood exceptions may need human review and discovery first.
Can automation connect tools without an API?
Sometimes a supported export or connector is enough. If no dependable access route exists, the process or scope may need to change.
What happens when one step fails?
The workflow needs an agreed queue, alert or manual route. Silent failure should not count as successful automation.
Is our data safe?
We design workflows to send only the data each step needs and agree tools with you.
How is AI workflow automation priced?
We quote against your goals, current setup and agreed scope. The quote separates delivery from third-party costs and ongoing support. You receive a custom quote within 2 working days.
How long does the work take?
The timeline follows the size of the agreed scope, access, content and approvals. We confirm milestones in the quote; a simple change and a full implementation need different schedules.
How will we communicate?
Your point of contact agrees a review rhythm with you. We use email, WhatsApp and scheduled calls, with decisions and scope changes recorded clearly.
What do you need to get started?
Share your current website or system, your main goal and examples of what is not working. We then agree the access and information needed for discovery.
Is everything included in the free review?
No. The free initial review helps define the next step. Detailed research, design, implementation and ongoing support are included only when stated in your quote.
Explore the related services
Let’s agree the right next step.
Tell us your goals and current setup. We’ll recommend a practical starting point and provide a custom quote.
Custom quote within 2 working days