Process first, platform second.
Agentic blueprints and a nearshore team of AI, data and digital specialists that turn Optimizely, Adobe, Salesforce and Microsoft platforms into measurable marketing adoption.
AI agents need people behind them.
thedigital.support has embraced AI, and we bring an AI-ready workforce to the companies we support. At the heart of every AI rollout are people doing the hard work: getting your data right, connecting your systems for AI workflows, and enabling new AI agents to run securely on Windows systems across the enterprise.
For the difficult work, start with our 1-week diagnostic. We help you choose the right projects and match them with the right talent, so your team can take on less of the load.
A new operating model: people paired with agents.
Hover, tap or tab through each stage to see who does what.
- 1Strategy and Briefing
- What happens
- Intake is extracted and structured; briefs and project plans are drafted
- Agent mode
- Agent-led intake, agent-assisted drafts
- Human checkpoint
- Strategy and prioritization stay with people
- 2Asset Intelligence
- What happens
- Existing assets, versions and rules are found and reused from the knowledge base
- Agent mode
- Agent-assisted recommendations
- Human checkpoint
- Marketers choose what to reuse
- 3Content and Asset Generation
- What happens
- First drafts and assets are generated against the brief
- Agent mode
- Agent-led generation
- Human checkpoint
- Creativity and editorial judgment stay human
- 4Governance Gate
- What happens
- Brand and top-line compliance checks run inside the workflow
- Agent mode
- Agent-led initial vetting
- Human checkpoint
- Legal, compliance and security decisions stay human
- 5Adaptation and Variant Creation
- What happens
- Approved content is adapted to channels, audiences and markets
- Agent mode
- Agent-led variants
- Human checkpoint
- Spot review by the content owner
- 6Publishing and Activation
- What happens
- Tasks are created and routed, readiness is checked, content is activated
- Agent mode
- Agent-led coordination
- Human checkpoint
- Final approval and publication stay human
- 7Measurement and Learning Loop
- What happens
- Performance is reported and analyzed, and fed back into the next brief
- Agent mode
- Agent-led reporting and analysis
- Human checkpoint
- Strategy adjustments stay human
Performance feeds the next brief
Human-in-the-loop
People keep strategy, creative judgment and final approval.
Single source of truth
One knowledge layer for assets, versions and rules.
Closed loop
What each campaign learns shapes the next brief.
From first diagnostic to a team that runs it themselves.
- 1
Diagnostic
1 week
One week to locate your team on the blueprint path.
- 2
Quick wins
2 to 3 weeks
Pre-scoped, low-risk starting points that prove the workflow before we scale it.
- 3
Blueprint rollout
The proven workflow is extended stage by stage.
- 4
Enable and hand off
A certification path and handoff so your team runs it without us.
Blueprint plus bench.
The blueprint
- Process map
- Agent roster
- Governance model
- Knowledge layer
- KPI tree
The nearshore bench
- AI engineers
- Data engineers
- Full-stack developers
- CRM and MarTech specialists
- QA
- IT and platform support
Same time zone as you, integrated into your team.
Platforms, grouped by job.
Optimizely One
Agent Platform workflow agents, skills, content workflows.
Adobe
AEP RT-CDP, Journey Optimizer orchestration, Customer Journey Analytics, AEM development, Marketo, Adobe Commerce (Magento).
Salesforce
Marketing Cloud and CRM support.
Microsoft
Foundry agents, Microsoft desktop support, Dynamics 365 CRM, Azure DevOps, Microsoft Fabric and SQL Server.
Ready to pick a pilot?
- 1 Choose a pilot
- 2 Run the diagnostic
- 3 Ship a quick win