Intelligent autonomous assistants. Grounded in your reality.
Build AI assistants that can support defined tasks, use connected tools, and help teams move work forward.
Let's explore the opportunityBuilt around
what matters.
Deploy task-focused AI agents designed with strict operational guardrails, approved enterprise data access, and deterministic human review checkpoints.
Technology is a means to an outcome. We make the assumptions, dependencies, and tradeoffs visible so you can make informed decisions at every stage.
Practical capabilities.
A considered approach.
The final scope is agreed during discovery, based on your business needs and technical context.
Custom task-oriented agent workflows
API and tool calling integration
Contextual knowledge retrieval (RAG)
Deterministic human-in-the-loop gates
Safety boundaries and permission bounds
Continuous agent evaluation and logging
Design for the outcome.
Defined tasks, clear limits
Scope agents around specific, repeatable business tasks with strict permission boundaries.
Human in the loop
Require human authorization for sensitive or consequential operational steps.
Verifiable accuracy
Benchmark agent outputs against approved enterprise business criteria.
From ambition to impact.
Clear thinking. Close collaboration. No unnecessary complexity.
Stakeholder conversations, current-state workflows, constraints, and a prioritized opportunity map.
A clearer
starting point.
We begin with a discovery conversation about your goals, current processes, users, data, and constraints. For ai agents, the first useful output is a clear problem statement, a realistic scope, and an agreed way to evaluate success.
That is often the right starting point. We first assess the available APIs, data formats, access controls, and operational constraints. An integration may be more appropriate than replacing a system. Feasibility is confirmed during discovery rather than assumed.
Scope, integrations, data readiness, security requirements, and internal availability all affect cost and timing. After discovery, a proposal should set out deliverables, assumptions, milestones, responsibilities, and commercial terms. We do not give a universal price or promise a timeline before understanding the work.
A handover should include documentation, training, monitoring, and an agreed support arrangement. During scoping, we discuss who owns operations, how issues are escalated, and how future improvements are prioritized. The exact support model is part of the project agreement.
Explore the wider ecosystem.
Your ambition. Our expertise. A smarter tomorrow.
Talk to ZERONE