AI agents & AI automation
AI agents that do real work — with a person in control.
We build AI agents into your workflows to read, sort, draft and answer — support assistants, document extraction, inbox triage and knowledge search — with clear limits and a hand-off to a person when it matters.
Who it's for
- Teams answering the same customer questions every day
- Businesses processing documents, forms or emails by hand
- Staff searching through documents to find answers
The problem
Most AI tools are demos, not systems.
A chatbot widget answers three questions well and gets the fourth wrong. Real value comes from AI connected to your own data and process, tested against real cases, with guardrails and a person reviewing what matters.
What you get.
- 01
The right use case
Where AI is reliable enough to help — and where it isn't yet.
- 02
Support and chat assistants
On your website, WhatsApp or email, trained on your content, handing over to a person when needed.
- 03
Document and inbox agents
Read invoices, forms and emails, extract the fields you need, sort and draft replies.
- 04
Knowledge assistants
Answers from your own documents, pointing to the source so staff can check.
- 05
Guardrails and testing
Limited access, tested on real questions, and human review where mistakes matter.
- 06
Clear running costs
AI usage is billed by the model provider to your own account, estimated for you upfront.
What it looks like in practice.
Ones marked “Real project” are live systems we've built. The rest are typical examples, not claims about a specific client.
- Example
Customer support
Before: Staff answer the same questions all day.
After: Common questions answered instantly; complex ones passed to a person with the conversation attached.
- Example
Document processing
Before: Invoices and forms read and re-typed by hand.
After: Key fields extracted and checked before they're saved.
- Real project
AI CV builder
Before: Job seekers struggle to produce a UK-style CV.
After: A free AI CV builder on Pravasi.uk that turns guided answers into a UK-style CV.
How it works.
- 1
Pick the use case
We find where AI saves real time without creating new risk.
- 2
Prototype with your data
A quick test on real examples before committing to a full build.
- 3
Build, test and add guardrails
Access scoped, failure cases tested, and a person in the loop where it matters.
- 4
Launch and hand over
Monitored at launch, documented, and running on accounts you own.
Built by WorkflowSaga.
Live systems we've designed, built and shipped.
AI Agents & AI Automation FAQs
Is this a chatbot or an AI agent?
A chatbot answers questions. An agent can also take steps — look something up, extract data, draft a reply, update a record — within limits we define together.
Will it get things wrong?
Sometimes, which is why we design for it: a narrow scope, testing on real cases, and human review wherever a mistake would matter.
What data can it access?
Only what you choose to give it. Access is scoped deliberately during the build, not left open by default.
Which AI models do you use?
We choose models that suit the task, accuracy needs and budget. Usage is billed by the provider to your account, so you can see exactly what it costs.
Can it hand off to a person?
Yes. Agents are built to escalate when a query needs a human, with the context passed along.
Wondering where AI would actually help?
Bring one repetitive task. We'll tell you honestly whether AI is reliable enough for it.