Less repetitive work. More work that matters.
We build AI agents and automations that process information and carry out tasks across applications. We connect the tools your business uses, with access rules, approvals and ongoing monitoring.
Discuss what I can automateDo these challenges sound familiar?
Entering the same data again.
Your team copies information from one application to another.
Answers scattered everywhere.
Finding the right answer means opening too many documents.
Requests piling up.
Requests pile up while waiting for classification or review.
Automation that fits your operation.
We start with specific tasks: handling requests, finding information or moving data between tools. We define where AI helps, where rules are enough and which decisions stay with people.
Discuss your prioritiesAssistants that retrieve authorised information, prepare drafts or support a task. We define available sources, permitted actions and when the assistant must ask for help or approval.
Workflows that extract, classify and route information from documents or requests. We define required fields, validation, review of ambiguous cases and handling of incomplete documents.
Connections between tools your team already uses, with rules for triggering actions, avoiding duplicate records and recovering from failures. AI is used only where interpreting information is necessary.
How we work
Observe the work
We walk through the task with the people doing it and identify data, rules, exceptions and decisions that need review.
Build and test on a small scale
We prepare a pilot using authorised data and test normal cases and failures before extending its use.
Prepare for operation
We validate the agreed criteria, access and ownership. We plan adoption and, where included, monitor operation.
How we assess the work
Before the pilot, we agree test examples and acceptance criteria. We compare quality, total time including human review, failures and cost per run with the current process. The result can justify proceeding, adjusting or choosing not to automate.
What we need to start
- A task with an owner, representative examples and criteria for recognising a good answer.
- Authorised information sources and access to the necessary tools or interfaces.
- Confidentiality rules, permissions and team availability to validate the pilot.
Before you engage us
Do I need AI to automate?
Not always. An integration or simple automation may be enough for predictable rules. We use AI for a specific need, such as interpreting text or retrieving information.
Can we use our existing tools?
We assess available integrations, permissions and each tool’s limits. Connectors, licences and external service usage are identified in the proposal.
How is confidential data handled?
Before the pilot, we define permitted data, access and the services involved. We use anonymised examples where possible; sensitive data requires prior assessment and authorisation.
What happens when AI makes a mistake?
We define actions requiring approval, cases that must stop and escalation to a person. The pilot also tests incorrect answers and integration failures, with a way to resume manually.
Which task has your team already repeated today?
Choose one repetitive task and bring examples without confidential data. We start with a specific task and test the solution with your team before integrating it into everyday work.
Discuss what I can automateWhat’s your business’s next move?
Tell us what you want to improve. We can start with a task, a process or a team.
Prefer to talk directly?
hello@nativestride.io
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hello@nativestride.io