Workflow automation
Connect intake, records, routing, approvals and reminders with rules your team can inspect.
02 — AI Agents & Automation
AI agents and automation for clearly defined work.
Cenqora develops AI agents and workflow automation for business tasks. Connect existing tools, automate repeatable steps and define where an agent may use information or take action. Start with one workflow, clear permissions and a person responsible for exceptions.
Where AI agents and workflow automation help.
Teams handing work between disconnected tools
Businesses re-entering the same information
Operations leads needing clearer work status
Choose the scope your team needs.
AI agent development
Scope an agent around an agreed task, permitted information and approved tools. Define which actions need a person before connecting it to business systems.
Review and recovery
Test ordinary cases, incomplete inputs and failed connections. Agree alerts, limits, manual fallback and the person who maintains the workflow.
See the system in context.
Workflow — approval before delivery
Requests route to approval, with exceptions sent to a person for review.
Deliverables
What we deliver.
Process mapping
Document the handoffs, delays and duplicate entry in one workflow.
CRM and tool integrations
Connect existing systems and reduce repeated data entry.
Intake, routing and approval flows
Route requests and approvals to a defined team owner.
Dashboards and reporting
Track status and volume against agreed operational questions.
Exception handling and documentation
Document failures, alerts and the steps your team can take.
How we work.
01
Discover
Walk the workflow with the people who run it.
02
Define
Choose one workflow, agree the measures, confirm tool constraints.
03
Build
Implement, test with real cases, review with the team.
04
Evolve
Verify it holds, then expand to the next workflow.
Project essentials.
- We assess existing tools before proposing replacements.
- Connections depend on existing tools and authorised access.
- Start with one workflow, verify it in use, then expand.
- Maintenance is arranged separately from the build.
- Platform subscriptions and usage costs are agreed up front and paid separately.
AI agent and automation questions, answered.
Will we have to replace the tools we already use?
We assess your existing tools first. Replacement is proposed only when their limits prevent the agreed workflow, with trade-offs reviewed before changes.
How small can a first project be?
One defined workflow can be a first phase, with scope and measures agreed before implementation.
What happens when an automation fails?
We define retries, alerts, ownership and a manual fallback, then document them at handover.
Should we use AI agents or fixed-rule automation?
Use fixed rules when they can handle the task reliably. AI-assisted summaries or categorisation may help with human review. Agree permitted data, approved tools, human decisions, failure handling and acceptance checks before connecting a model.
What does an AI agent project include?
We agree the task, permitted information, approved tools and actions, human review and acceptance checks. The proposal defines the build, integration feasibility, documentation and any ongoing support; capabilities are not automatically included in every automation project.
What does an AI agent project cost?
The quotation depends on the task, integrations, testing and ongoing support. Hosting, model usage and third-party subscriptions are agreed separately. Review the current pricing options, then request a scope for your workflow.
Tell us what you want to improve.
Share the task, current tools and the point where work gets delayed.
For qualification, booking and sales-stage ownership, start with your sales process. Explore CRM and lead follow-up.
