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Build
Practical AI and automation for work you already do.
What is AI automation? It is a repeated handoff turned into a workflow, with a person still checking the exceptions. Sovassa designs that AI automation only when the steps are already understood, and leaves it alone when the process is still changing every week.
The first step is a map: who receives the work, what done means, and which system should hold the record. The workflow then covers the repeated, low-judgement step. The exceptions stay with a person. A workflow that freezes a messy process is not a success.
Data boundaries are part of the design. We name which documents or records the workflow may use, and what it must not see. If the output cannot be checked, we do not ship it. Rollback is included, so a bad change can be undone without a rescue project.
Real estate teams often feel this as leads arriving faster than follow-up. In that setting the useful version is the repeated handoff from the form into the tool the team already uses, with a person still responsible for the conversation. It is not a chatbot that invents an answer about a listing.
You describe the step as it happens today, including the exceptions a person still has to catch. We write down the systems involved, what “done” looks like, and how a mistake is reversed. A pilot runs with one team before anyone talks about a second department. If the people doing the job do not trust the output after that pilot, we stop. Expanding a workflow nobody will use is not a later phase. It is a reason to leave the work as it was.
The problem
The opportunity is rarely “add AI”. It is a handoff that wastes the same hour every day.
People do not trust the output
A generated draft has no owner, no source, and no way to reject it.
Data boundaries are vague
Customer or internal information might be pasted into tools nobody has reviewed.
The demo never becomes a process
A prototype impresses a meeting and never reaches the team that would use it.
What we deliver
The pieces this service is accountable for.
Workflow automation
Handoffs between the tools you already use, with a record of what happened.
Assistive drafting
First drafts for support, content, or internal notes, with a person approving the send.
Internal knowledge tools
A bounded assistant over documents you choose, not an open-ended chatbot.
Product features
An AI capability inside a web or mobile product, scoped like any other feature.
Capabilities
Included in a typical engagement.
- Process mapping
- Integration design
- Prompt and workflow setup
- Human review steps
- Access and data boundaries
- A rollback if the workflow misbehaves
Stack
Tools we will actually discuss.
Workflow tools
API integrations
LLM APIs
Python
Web apps
Analytics events
Responsible implementation here means a named owner, a data boundary, and a way to turn the workflow off. We do not ship an assistant that nobody is accountable for.
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Process
How an engagement moves.
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01
Find the repeated task
Watch the work long enough to name the step worth automating.
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02
Bound the data
Decide what the system may read, store, and show, and what it must not.
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03
Build the smallest loop
A workflow one team can run, with a way to correct mistakes.
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04
Review before you expand
Keep it only if the people doing the job trust it.
Related
Continue with the work around this service
Most engagements connect more than one capability.
Build
Web Development
Marketing sites, portals, dashboards, and web apps your team can keep using.
View serviceMarket
Digital Marketing
Strategy, campaigns, and reporting that connect search, content, and paid media.
View serviceGrow
Solutions
Solutions package Build and Market work around an outcome. Use them when you know the result you need and want Sovassa to recommend the mix.
View serviceInsights
Questions buyers ask before this work
Plain answers we give in first conversations.
Technology
Where automation helps a small team, and where it should wait
Automation is useful when a repeated handoff is already understood. It creates confusion when the process itself is still unstable.
Read insightFAQ
Questions, answered plainly
Short answers to the decisions this page is meant to support.
What is AI automation, in a project rather than a slogan?
A repeated step the team can already describe, moved into a workflow with a human check and a way to undo it. If the process is still changing every week, that workflow waits.
Do you train custom models?
Not as a default. Most useful work is a workflow, a retrieval boundary, or a product feature on top of an existing model. Custom training is a different project and we will say if it is unnecessary.
Is our content sent to a third party?
Only if we agree that in the scope. The design includes which provider is used and what is allowed to leave your systems.
Can this service stand alone?
Yes. We will tell you if another capability would change the outcome, and you can decide whether to include it.
How do we start?
Send a consultation request with the goal, the current site or product if you have one, and the timing you have in mind.