Commercial automation
From the first inquiry to the next commercial move: capture demand, keep it organized and support consistent follow-up.
- Forms and inbound channels
- Classification and assignment
- CRM, tasks and follow-up
02 / AUTOMATION MKTFINE / AI WORKFLOWS
We design automation and AI workflows that connect tools, data and people. Fewer manual steps, smoother handoffs and more clarity about what happens at each stage.
A THE STARTING POINT
An inquiry arrives through one channel, someone copies it into a spreadsheet, another person asks for an update and follow-up depends on a reminder. Disconnected steps create friction, delays and missing context.
A workflow shapes the full journey: what starts the process, which rules apply, who makes a decision, what happens when there is an exception and how the outcome is recorded. Technology supports that design.
B A WORKFLOW IN ACTION
Consider a sales opportunity: it arrives through a form, is recorded with context, assigned by clear rules, triggers a follow-up task and leaves information to track progress. Every important decision has an owner, and exceptions have a defined path.
The goal is to automate the right steps and give people more time for decisions that need their judgment.
Assess a processC CAPABILITIES
Each area starts with a concrete process and can work alongside others when the operation calls for it.
From the first inquiry to the next commercial move: capture demand, keep it organized and support consistent follow-up.
Coordinate content, campaigns and communication around each audience stage, while keeping sight of what happens next.
Reduce repetitive work across teams while keeping people in charge of approvals, documents and important decisions.
Bring scattered information together, refresh indicators and make it easier to understand what is happening in a team or process.
Add AI to a defined flow to search knowledge, classify information or draft responses for a person to review.
D PRIORITIES
We prioritize potential impact and real feasibility before choosing platforms or promising outcomes.
How often does it repeat and how much manual work does it create?
Which steps are predictable and where do exceptions appear?
Does the required information exist and can it be trusted?
Do the systems provide usable interfaces and permissions?
Who approves, receives alerts and owns each decision?
How will we know it works better and when to adjust it?
E METHOD
Start with a bounded case, learn from real use and expand when the process works.
Identify people, tools, current steps, exceptions and sources of friction.
Select a priority case, define the expected outcome and keep human judgment where it belongs.
Define triggers, rules, data, approvals and visible statuses.
Implement the agreed workflow and test normal and exceptional cases.
Monitor how it works, correct issues and assess the next opportunity.
F PRACTICAL INTELLIGENCE
Clear rules and reliable integrations solve many tasks. When a process involves unstructured text, documents or complex questions, AI can help classify, retrieve information or draft a response. We define what data it uses, what it can do and when a person reviews the output.
RULES + DATA + HUMAN OVERSIGHTG FREQUENT QUESTIONS
No. Many workflows connect systems and apply rules. We consider AI when it improves a specific task and suitable data and controls are available.
Yes. A focused workflow lets us test how it runs, learn from its users and decide whether to expand.
We review each tool’s interfaces, permissions and limits before defining an integration. Scope depends on what can actually connect.
The design includes exceptions: they can trigger an alert, stop an action or go to a person responsible for deciding.
Yes. Processes, data and tools change. Monitoring, ownership and adjustments should reflect how critical the workflow is.
→ NEXT MOVE
Tell us what repeats, where the process breaks and what should happen next. Let’s design the first move.
Discuss automation