ASC Digital

AI workflow implementations

Embed AI inside the workflows your teams already run — approvals, handoffs, research, and follow-ups that move faster with oversight.

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AI & Automation

AI in the flow of work — not beside it

We design and ship AI-assisted workflows that cut cycle time while keeping humans accountable at the right checkpoints — especially inside CRM and revenue operations.

Before and after

Same task, fewer hands

AI workflows don't take people out of the process — they take out the busywork between decisions. Here is one workflow, before and after.

Example: qualifying an inbound lead

Today

7 manual steps

  1. Read the form
  2. Research the company
  3. Check the CRM for duplicates
  4. Score the lead
  5. Write a summary
  6. Assign an owner
  7. Draft the first email

With an AI workflow

4 steps · 1 human checkpoint

  1. AI enriches and de-duplicates
  2. AI scores, summarizes and drafts the email
  3. Rep reviews and sends
  4. CRM updated automatically
AI stepHuman checkpointSystem step
Illustrative example — the exact steps vary by organization.

Where it fits

Workflows we commonly ship

AI workflows pay off wherever work involves reading, summarizing, routing or drafting — which is most teams.

Sales

Less admin before and after every conversation.

  • Lead triage and enrichment
  • Meeting prep briefs
  • Follow-up drafting

Customer service

Faster, more consistent answers.

  • Case triage and routing
  • Reply drafting from your knowledge base
  • Case summaries for handoffs

Marketing

More variants, same brand voice.

  • Content variants within brand rules
  • Campaign briefs from data
  • Segment insights

Finance & operations

Exceptions handled before they pile up.

  • Invoice exception handling
  • Contract summaries
  • Approval routing

Who we serve

Workflows matched to your operating rhythm

For SMBs

Two or three high-friction workflows automated end to end — enough lift to feel immediately, light enough to maintain.

Typical: sales follow-up, service triage, or reporting prep workflows.

For enterprises

Reusable workflow patterns across regions or business units, with shared components, role models, and change management.

Typical: design system for AI workflows, center-of-excellence alignment, phased rollout.

FAQ

Common questions

How is this different from classic automation?

Classic automation follows fixed rules. AI workflows handle language, judgment-assist, and unstructured inputs — with controls so autonomy stays intentional.

Can workflows include Agentforce or other agents?

Yes. Agents often sit inside a workflow as a step — drafting, researching, or routing — with humans closing the loop where needed.

What breaks most AI workflow projects?

Unclear ownership and dirty upstream data. We fix process definition and data contracts as part of delivery, not as an afterthought.

Put AI inside a workflow that matters

Pick the process that burns the most time. We design the assisted path and ship it with your team.