Repetitive requests
Identify recurring questions, information gathering or simple follow-up that can be handled within an agreed scope.
Aim: an automated path with a handover for exceptions. Measure resolutions without rework and escalations.
Talk to an expertFRAI & Automation / CX & Tech expertise
We design automation, AI use cases and integrations that simplify request handling within your tools and processes.
Talk to an expert
Scope depends on your processes, licences, permissions and available connectors.
Start with the work
Sometimes a rule is enough. Other cases need request understanding, agent assistance or several connected tools. We choose the technical response around your processes, data and required level of control.
Operational use cases
Illustrative scopes to adapt to your context. The benefits below are objectives to verify, not claimed client results.
Identify recurring questions, information gathering or simple follow-up that can be handled within an agreed scope.
Aim: an automated path with a handover for exceptions. Measure resolutions without rework and escalations.
Identify the reason for contact, collect useful details and send the request to the right group.
Aim: better-prepared requests. Measure reassignments and qualification corrections.
Help agents understand tickets, find knowledge and prepare the next response or action, including with Copilot.
Aim: less time spent searching across sources. Measure handling time and corrections to suggestions.
Structure Guide and supporting documentation, identify gaps and define what agents or AI can use.
Aim: a maintained source of truth with clear owners. Measure unanswered questions and content quality.
Trigger an action, share a status or enrich a ticket from a CRM or business tool, subject to API capabilities.
Aim: defined, traceable data flows. Measure manual steps and synchronisation failures.
Review contact reasons, volumes, exceptions, data and constraints before choosing automation or AI.
Aim: a realistic scope and prioritised roadmap. Compare expected value, effort and feasibility.
Zendesk / From workflows to AI
Defined condition → trigger or automation → expected action. Fields, views, macros and routing form an explicit, documented and tested process.
Ticket context + knowledge and procedures → suggested response or next step, with the appropriate human approval.
Understand the request → respond or act within scope → hand over to a person when needed. Reliable sources and clear boundaries are essential.
These are operating principles, not reproduced interfaces. Availability depends on licences, options and your environment.
Explore our Zendesk expertiseAircall / Zendesk / CRM / Business tools
A call, a ticket and a customer record often relate to the same need. We define the useful links and authorised actions between them.
Connect useful call information with follow-up in Zendesk.
Bring relevant CRM information into the handling process.
Share a status or trigger an authorised action in a business tool.
Each flow specifies source, destination, permissions, direction and error handling. A connection does not imply synchronising all data.
Explore AircallScope depends on your processes, licences, permissions and available connectors.
Our approach
Review tasks, contact reasons, rules and exceptions.
Balance expected value, feasibility, data quality and effort.
Define workflows, integrations, knowledge and handovers.
Configure and check standard cases, errors and transfers.
Compare with the baseline, investigate differences and adjust.
Responsibilities, approvals and human handovers are defined before launch. Deployment can start with a limited scope and expand according to observed results.
Zendesk & AI audit
Already running Zendesk? Our audit reviews configuration, workflows, knowledge, reporting and AI opportunities to build a prioritised action plan.
A paid service quoted to scope. Approximately 15 pages of analysis and practical recommendations, usable by your teams independently of any further engagement.
Explore the Zendesk & AI audit
Before we start
No. A routing rule, trigger, macro or integration may be enough. We start with the task and choose the appropriate mechanism.
Copilot supports agents in their work. AI Agents can handle suitable customer conversations directly within a defined scope. Knowledge, handovers and available licences are assessed before deployment.
Reliable, current and structured content is essential for knowledge-based use cases. We identify gaps, reference sources and update responsibilities.
We assess connectors, APIs, permissions and available data, then define feasible flows, directions and error handling.
Eligible cases, exclusions, approvals and human handovers are defined before launch. Testing covers both normal cases and exceptions.
Depending on the use case: handling time, reassignments, qualification corrections, resolutions without rework, escalations and synchronisation failures. We compare against a baseline, without promising a universal rate.
Yes. This paid service is quoted to scope and provides approximately 15 pages of analysis and a prioritised action plan. Your teams can use the recommendations independently.
Your next step
A repetitive task, routing to improve or tools to connect: tell us about your context so we can define the next step.
Talk to an expertAn initial conversation, with no obligation.