Agentic AI that works inside the systems you already run
We design and integrate agent frameworks that connect to your ERP, CRM, email and APIs, so work moves forward with less manual effort and clear human oversight.
Overview
Agentic AI goes beyond answering questions. An agent plans the steps of a task, uses the tools you permit, checks its own work and reports what it did. Building one that is safe and dependable is mostly an integration and governance challenge.
Quibo designs agents with clear job descriptions, limited tool access and rules for when to stop and ask. We connect them through APIs to the systems of record you already depend on, so there is no rip-and-replace.
Multi-agent designs let specialised agents hand work to each other, coordinated by simple, auditable rules. Every step is logged, and people approve anything with real risk.
What we offer
- 01
Agent design
Job descriptions, tools, memory and escalation rules for each agent.
- 02
Framework integration and orchestration
Embedding agent logic into your stack, with orchestration across systems and teams.
- 03
Multi-agent workflows
Specialised agents that collaborate on larger processes, with clear hand-offs.
- 04
Tool and API connections
Secure, least-privilege access to ERP, CRM, email, spreadsheets and internal services.
- 05
Human-in-the-loop controls
Approval steps, limits and escalation for sensitive actions.
- 06
Evaluation and observability
Test suites, dashboards and audit trails showing what every agent did and how well.
- 07
Continuous improvement
Feedback loops that refine behaviour as your processes change.
How we work
- 01
Design the agent
We define the job, the tools, the limits and the success measures.
- 02
Integrate and orchestrate
We connect the agent to your systems and coordinate it with others.
- 03
Test and guard
We evaluate on real cases and add approvals, budgets and logging.
- 04
Launch with oversight
We go live with people reviewing, then widen autonomy as trust grows.
- 05
Learn and optimise
We use feedback and results to keep improving.
Related work
All case studiesAccounts Payable AI Worker
A digital worker that reads supplier invoices, matches them to orders and receipts, and prepares them in the ERP for approval.
Read case studyCustomer Support Agent
An AI agent that resolves routine customer requests across channels and hands complex cases to people with full context.
Read case studyLead Research Agent
A digital sales assistant that researches new leads, scores them against your ideal customer profile and drafts personal follow-ups for review.
Read case studyFrequently asked questions
How is an agent different from RPA?
RPA follows fixed scripts. An agent reads context, decides between steps and handles exceptions, while still working within the limits you set.
Which frameworks do you use?
We choose per project from leading open and commercial options, and keep designs portable so you are not locked in.
How do you keep agents safe?
Least-privilege access, approval steps for risky actions, budgets and step limits, and a full audit trail.
Can agents work with our legacy systems?
Often yes, through APIs, database connections or carefully controlled automation of the interface.
Great products start with a single conversation.
Tell us what you are building and we will tell you honestly how we would approach it. No pitch deck needed, and no obligation.
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