Workflow automation / London / Est. 2026
WORKFLOW AI SOLUTIONS LTD is a workflow automation practice, not a platform. We take one repetitive process, write down every step of it, build the automation inside your own accounts, and leave you owning it.
The company was incorporated in England and Wales on 1 February 2026. It has no published trading record, so this site publishes the method, the scope limits and the statutory facts instead of customer counts.
Figure 1. The shape of a delivered workflow
01 / What the practice does
Each of the three is bought separately. A specification can be commissioned on its own and taken to somebody else to build. That is deliberate: the specification is the part that has value even if you never hire us again.
We sit with the people who currently do the work and write down every step, every trigger, every exception and every point where a human decides. The output is a document, not a diagram nobody reads. It states what happens on the bad days as well as the good ones.
We build against the systems you already run, using integrations and model APIs you can open and inspect. The work happens in your accounts under your credentials. There is no WFAI runtime in the middle that you would have to leave later.
The automation runs alongside the manual process until the two agree, and the disagreements are written down. Then we cut over and hand you the runbook. Failure is made visible while it is still cheap, which is the whole argument for working this way.
02 / Method
Durations below are the working ranges we plan against for a single process of ordinary complexity. They are estimates of our own effort, not promises about your calendar, and a process with more exception paths than steps will take longer. We say so before we start, not afterwards.
| Step | Stage | What you receive | Typical duration |
|---|---|---|---|
| 01 | Process review | A written map of the process as it is actually performed today, including the exception paths, the informal workarounds and the volume it runs at. | 3 to 5 working days |
| 02 | Specification | A numbered build specification: triggers, data in and out, decision rules, human approval points, failure handling and the acceptance test we will be judged against. | 1 to 2 weeks |
| 03 | Build | The workflow running in your accounts, against your systems, with logging you can read without asking us what a line means. | 2 to 4 weeks |
| 04 | Parallel run | A comparison log of automated output against manual output for the same inputs, plus a written variance list and the fixes made in response to it. | 2 weeks minimum |
| 05 | Handover | Credentials, runbook, architecture notes, a recorded walkthrough and a named point of failure for each step, all held in your accounts. | 2 to 3 days |
Scroll the table sideways to read every column
03 / What we build against
A name below means we build against that product's published interface and can read its documentation without a training course. It does not mean a partnership, a reseller agreement, a certification or an endorsement by that vendor, and we hold none of those.
Systems of record
Salesforce, HubSpot, Microsoft Dynamics 365, Zendesk, Freshdesk, Jira, Linear, Monday.com, Asana, Airtable, Notion, Shopify, Stripe, Xero, QuickBooks, Sage, SharePoint, Google Sheets.
Automation and integration
n8n, Make, Zapier, Microsoft Power Automate, Temporal, Celery, cron, webhooks, REST and GraphQL interfaces, SFTP drops, message queues, Postgres, MySQL, SQLite.
Runtime and hosting
Python, Node.js, TypeScript, Docker, AWS Lambda, Google Cloud Run, Azure Functions, Cloudflare Workers, GitHub Actions, and plain scheduled jobs on a server you already pay for.
Model interfaces
OpenAI API, Anthropic API, Google Gemini API, Azure OpenAI Service, Amazon Bedrock, and open weight models run on hardware you control where the data cannot leave.
Where a step can be done by a rule, we use a rule. A language model is expensive, non-deterministic and hard to audit, so it earns its place only on the steps that genuinely need reading and judgement: classifying free text, extracting fields from documents that arrive in twelve different formats, drafting a reply a human then approves.
04 / How we work
Everything is built in accounts you control, with API keys issued by you and revocable by you. At the end of the engagement the credentials, the code, the configuration and the runbook are already where they need to be, because they were never anywhere else.
If leaving us would break the workflow, we built it wrong.
A workflow that has never been compared against the thing it replaces is a guess. We run the two side by side and record where they disagree, because the disagreements are the specification we did not write well enough the first time.
Cutover is a decision you make after reading that record, not an event we announce.
Most automation work fails at the point where nobody could say precisely what the process was. Writing it down is unglamorous, and it is where the money is saved. It also gives you something to take to another supplier if you would rather not use us.
We would rather lose the build than start it on an argument nobody has settled.
Approval points are designed in, named in the specification and visible in the running system. Where a mistake would reach a customer, a regulator or a bank account, the automation drafts and a human commits.
We will argue for more approval points than you expected, and we will explain what each one costs you in time.
05 / Scope limits
Written down so you can rule us out in two minutes rather than after two meetings.
Managed IT and helpdesk
We do not run a support desk, manage devices, administer networks or act as an outsourced IT department. We build a named workflow and hand it back.
Regulated decisioning
We do not build automated decisions that determine credit, insurance underwriting, medical triage, immigration status or employment outcomes without a human decision maker in the path. Article 22 of the UK GDPR exists for good reasons and we are not the firm to test its edges on your behalf.
Data migrations as a standalone job
We will move data as part of a workflow we are building. We do not take on bulk migration between platforms as a project of its own, because it is a different discipline with different failure modes.
Anything sold as a proprietary WFAI platform
There is no WFAI product, no licence, no seat count and no hosted service. If a proposal from us ever implies otherwise, it is wrong and you should say so.
Work we cannot describe honestly
We do not hold ISO 27001 certification, a SOC 2 report or Cyber Essentials certification, and will not represent otherwise. If your procurement process requires one of those, we are not yet a supplier you can use, and we would rather tell you now.
06 / Enquiries
Tell us about one process. Not a strategy, not a roadmap, one process that somebody in your organisation does again and again by hand. That is enough to start a useful conversation.