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

Autonomous

An 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

01

Map the task

We document the exact steps a person currently takes to complete the task, including edge cases.

02

Define boundaries

We agree what the agent can decide alone, and what needs a human sign-off.

03

Build and test

The agent is built against real (or realistic) cases before touching live data.

04

Roll out gradually

The agent starts on a subset of cases, with monitoring, before wider rollout.

AI Automation

Zero manual steps

A 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

01

Trace the current path

We follow a piece of data from where it enters to where it needs to end up.

02

Identify the AI-driven steps

We isolate the parts that need judgment — reading, classifying, extracting — from the parts that don't.

03

Build the pipeline

Each step is built and tested independently before being chained together.

04

Monitor and refine

We watch real runs and tune the pipeline against what actually shows up.

AI Consulting

Clear roadmap

Not 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

01

Audit

We interview the people doing the work and observe the process directly, not just the org chart version of it.

02

Map opportunities

We identify where AI would help, where it wouldn't, and why.

03

Prioritize

We sequence recommendations by impact and effort, not by novelty.

04

Document the roadmap

You get a written plan you can execute with us, another vendor, or your own team.

System Integrations

Connected by design

An 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

01

Inventory your systems

We map what needs to connect to what, and what data actually needs to move.

02

Design access scopes

Every connection is scoped to the minimum access it needs to do its job.

03

Build and test the connection

Integrations are tested against real data shapes before going live.

04

Monitor in production

Ongoing checks catch broken connections before they cause downstream problems.

Not sure which service fits?

AI Consulting is a good place to start if you're not sure what to build first.

Start a project