Sales
Structure incoming requests, prepare CRM updates, and draft follow-ups within defined rules.
AI transformation from use case to implementation
Choose where AI belongs in your operations, build a pilot, and test it against the work it needs to perform. ACW connects the selected workflow to existing systems and defines the conditions for extending its use.
See how use cases are evaluatedContact UsStart with work your team can evaluate
These are potential starting points. Data availability, task risk, and integration feasibility determine the suitable scope.
Customer support
Find approved information, prepare responses, and route requests for review.
Operations
Extract information from documents and pass reviewed records into the next workflow.
Marketing
Assist with information analysis, message preparation, and content review.
HR
Help employees find onboarding information and approved internal guidance.
Connect assessment with working delivery
- Readiness and use-case discoveryReview existing processes, data access, candidate tasks, and constraints.
- Strategy and prioritizationCompare opportunities and define which pilot to fund first.
- Data and integrationPrepare the agreed sources, permissions, and connections to business systems.
- Assistants, agents, and automationImplement the selected task using AI, rules, or a combination.
- Deployment and monitoringRelease the accepted workflow with agreed operational checks and ownership.
Evaluate four conditions before building
Build, test, and decide whether to extend
- 01.
Define the pilot
Select one workflow, representative tasks, a current-process baseline, and acceptance criteria.
- 02.
Implement
Build the pilot and agreed data or tool connections. Configure action permissions and human review points.
- 03.
Evaluate
Test expected requests, unsuitable inputs, and failure scenarios. Review quality, completion, time, and cost against the chosen criteria.
- 04.
Integrate and release
Deploy the accepted scope into the intended workflow. Assign ownership, monitoring, and update responsibilities before broader rollout.
What the engagement produces
A prioritized use-case assessment with assumptions and dependencies.
A built pilot with the agreed sources, integrations, and action boundaries.
Evaluation findings and a decision to release, revise, or stop.
Deployment configuration and operational handover for accepted implementation work.
Check outcomes in the workflow
Repeated work
Steps completed automatically and exceptions left for people.
Response time
Time to a usable result, including review.
Knowledge access
Relevant, permitted information found for the task.
Consistency
Performance across representative inputs and failure scenarios.
Team capacity
Work removed, review added, and new maintenance responsibilities.
System fit
Successful handoffs to the tools people already use.
A pilot example, not a client case.
Illustrative engagement scenario
A support team searches several approved knowledge sources before answering requests. A pilot retrieves relevant material and drafts a response for agent review. Evaluation checks usefulness, source relevance, unsuitable requests, and total handling time before deciding on wider adoption.
Questions before an AI program
Does every use case require AI?
No. Rules and integrations may meet the requirement. The assessment compares the approach with the task and the cost of operating it.
Is this a strategy engagement or an implementation engagement?
It can cover assessment, pilot development, and accepted workflow implementation. The proposal names the phases included; a roadmap alone is not implementation.
Who owns the workflow after release?
Agree responsibility for source updates, evaluation, exceptions, provider changes, and support. Ongoing operation requires a defined arrangement with your team or ACW.
Bring one workflow and its current limitations
Tell us what people do today, which systems and information they use, and what a useful pilot would need to demonstrate.