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AIx Automation

After your roadmap

Implementation packages

Most clients start with an assessment. Once priorities are clear, these packages are how we help you build: clear scope, clear deliverables, and outcomes you can measure.

Our approach →

Included with every package

The same quality bar whether you start with marketing ops, integrations, or reporting.

We measure before and after so change is visible, not guessed
Every critical action requires approval where your policy says so
Clear record of what ran, when, and with what inputs
Full documentation so your team can own it after handoff
Sales Ops, Marketing Ops, RevOps

Package A — Growth & Marketing Operations

Typical range: 6–10 weeks · scoped quote after discovery

Benchmark-style outcome: higher content throughput and faster speed-to-lead after foundations are in place.

Scope and pricing are confirmed after discovery. As a planning anchor, most engagements here land from mid–five figures into the low six figures depending on systems and complexity.

Automate lead generation and follow-up, content workflows, and SEO monitoring with human approvals where it matters.

Typical use cases

  • Lead generation, enrichment, and qualification
  • Content and marketing research and production
  • Scheduled multi-channel publishing
  • SEO checks and technical monitoring

Deliverables

  • + Data pipeline setup (enrichment into your CRM)
  • + Content workflow with brand voice alignment
  • + Approval flow (who signs off before publishing)
  • + Clear record of where data and content came from
  • + Basic monitoring and documentation for your team

What “done” means

  • Baseline metrics captured (e.g., speed to lead, content output)
  • System running in production with approvals
  • Manual steps reduced in a way you can measure

What you provide

  • Access to CRM, marketing, and enrichment tools
  • Brand guidelines and a written description of your ideal customer
  • Someone available to approve content and leads during rollout
Teams drowning in cross-tool busywork

Package B — Process Optimization & Integration

Typical range: 8–14 weeks · scoped quote after discovery

Benchmark-style outcome: reliable end-to-end flows with cycle time tracked down, not guessed.

Scope and pricing are confirmed after discovery. As a planning anchor, most engagements here land from mid–five figures into the low six figures depending on systems and complexity.

Connect systems so work moves without copy/paste and without someone manually moving data between tools.

Typical use cases

  • Forms create tickets, assign owners, and notify the right people
  • CRM updates when support or ops events happen
  • Approvals in sync across the tools your team already uses
  • Handling for edge cases (there are always edge cases)

Deliverables

  • + Workflow map (current vs improved)
  • + Integrations (API, webhooks, or native connectors)
  • + Approvals on critical actions
  • + Error handling and alerts
  • + Monitoring checklist and documentation

What “done” means

  • Workflow runs end-to-end reliably
  • Failures are visible and recoverable
  • Time to complete the work drops and is tracked

What you provide

  • Access to tools (or a sandbox)
  • A workflow owner who can validate the steps
  • A clear definition of success for the workflow
Recurring reporting that eats the same block of time every week

Package C — Operational Intelligence & Analytics

Typical range: 8–12 weeks · scoped quote after discovery

Benchmark-style outcome: recurring reporting time often drops from hours to minutes per week.

Scope and pricing are confirmed after discovery. As a planning anchor, most engagements here land from mid–five figures into the low six figures depending on systems and complexity.

Pull data on a schedule, lock metric definitions, and ship consistent outputs so finance and ops stop debating the numbers.

Typical use cases

  • Weekly ops review packs and marketing analytics
  • Sales performance and pipeline summaries
  • Finance summaries with variance notes
  • Plain-language “what changed this week” updates

Deliverables

  • + Automated data pulls and schedules
  • + Metric definitions so the same number means the same thing next month
  • + Output formats (dashboards, docs, email)
  • + Automatic checks when data looks wrong
  • + Automated summaries with a required human review step

What “done” means

  • Reporting time drops, materially
  • Output is consistent each week
  • Stakeholders trust the numbers

What you provide

  • Data sources and access
  • The must-have metrics list
  • A reviewer for the first few production runs

Map first. Build second.

If you do not have a roadmap yet, start with an assessment or a self-serve tool.