Four services. One goal: less manual work.
Every Xeviqa engagement starts from one of these building blocks, then gets shaped around your workflow, data, and existing tools.
AI Agents
AutonomousAn AI agent is more than a chatbot: it can look something up, decide what to do with it, and carry out the next step — across email, your CRM, internal documents, or scheduling tools — without a person driving every click. Xeviqa builds agents scoped to a specific business process, with clear rules about what they're allowed to do on their own and where a human needs to approve first.
— What's included
- Task and workflow agents scoped to one business process at a time
- Configurable permissions and approval checkpoints
- Structured logs of every action the agent takes, for review and audit
- Fallback behavior for cases the agent isn't confident about
— How it works
Map the task
We document the exact steps a person currently takes to complete the task, including edge cases.
Define boundaries
We agree what the agent can decide alone, and what needs a human sign-off.
Build and test
The agent is built against real (or realistic) cases before touching live data.
Roll out gradually
The agent starts on a subset of cases, with monitoring, before wider rollout.
AI Automation
Zero manual stepsA lot of "automation" work is really just plumbing: getting a document, an email, or a form into the system where it needs to live, in the shape that system expects. Xeviqa builds automation pipelines that handle this end to end — including the AI-driven steps, like reading a document or classifying a message, that used to require a person's judgment.
— What's included
- Inbox, document, and data processing pipelines
- Rules and triggers modeled on how the work actually happens today
- Validation steps that catch and flag exceptions instead of failing silently
- Visibility into every run, so your team can see what happened and why
— How it works
Trace the current path
We follow a piece of data from where it enters to where it needs to end up.
Identify the AI-driven steps
We isolate the parts that need judgment — reading, classifying, extracting — from the parts that don't.
Build the pipeline
Each step is built and tested independently before being chained together.
Monitor and refine
We watch real runs and tune the pipeline against what actually shows up.
AI Consulting
Clear roadmapNot every workflow needs an AI system, and not every AI system needs to be built from scratch. Xeviqa's consulting work is vendor-neutral: we look at where AI genuinely reduces effort or risk in your operations, where a simpler tool would do the job better, and what order to tackle things in so early wins fund later ones.
— What's included
- A structured audit of current workflows and where time is actually spent
- Build-vs-buy guidance based on your constraints, not a default answer
- A phased roadmap from a scoped pilot through to production
- Plain-language documentation your team can act on without us in the room
— How it works
Audit
We interview the people doing the work and observe the process directly, not just the org chart version of it.
Map opportunities
We identify where AI would help, where it wouldn't, and why.
Prioritize
We sequence recommendations by impact and effort, not by novelty.
Document the roadmap
You get a written plan you can execute with us, another vendor, or your own team.
System Integrations
Connected by designAn AI system that can't read your data or write back to your systems is a demo, not a solution. Xeviqa builds the integration layer that lets agents, chat systems, and automations act inside your existing stack — Microsoft 365, Google Workspace, Slack, your CRM, and custom internal tools — using the access controls your business already requires.
— What's included
- API-based connections to common business platforms and custom internal systems
- Authentication and permission scoping aligned to your existing security policies
- Two-way sync where systems need to stay consistent with each other
- Monitoring for integration health, so failures are caught early, not discovered later
— How it works
Inventory your systems
We map what needs to connect to what, and what data actually needs to move.
Design access scopes
Every connection is scoped to the minimum access it needs to do its job.
Build and test the connection
Integrations are tested against real data shapes before going live.
Monitor in production
Ongoing checks catch broken connections before they cause downstream problems.