Services

AI Adoption

Add AI where it adds value.

From content acceleration to predictive lifecycle triggers, we help you choose tools, pilot safely, and prove ROI, with governance your leadership can trust.

AI becomes a repeatable growth lever: faster output, smarter lifecycle triggers, more consistent quality, and leadership-grade governance, without turning your team into a science project.

What we do:

  • Use-case & tool selection
  • Pilot design (content, CX, analytics)
  • Team training & change enablement

Scale-up roadmap with clear ROI metrics

Scaling & Speed 

Use-case & tool selection

We start with business outcomes, then match the right workflows and tools (not hype).

Includes:

  • Use-case discovery across Marketing, Sales, CX, Ops, and Analytics

  • Prioritization scorecard (impact, feasibility, data readiness, risk, time-to-value)

  • Tool landscape evaluation (build vs buy; vendor shortlist; integration considerations)

  • Workflow mapping (where AI fits, what stays human, approval paths)

  • Requirements + evaluation criteria (security, privacy, compliance, cost, performance)

Pilot design

We design pilots that are measurable, safe, and fast to learn from, so you can prove value without disrupting the business.

Includes:

  • Pilot scope + success metrics (baseline → target → measurement plan)

  • Content acceleration pilots (blogs, case studies, product pages, email variants, ad angles)

  • CX pilots (support triage, response drafting, knowledge base suggestions, call summaries)

  • Analytics pilots (forecasting, churn risk indicators, lifecycle trigger recommendations)

  • Prompting + QA framework (brand voice, accuracy checks, human review, escalation rules)

  • Data and access boundaries (what AI can see, what it cannot, retention controls)

Team training & change enablement

AI doesn’t fail because of the model—it fails because teams don’t adopt it consistently. We make it usable and stick.

Includes:

  • Role-based training (marketing, sales, CS, leadership) with real workflows

  • Internal playbooks: “how we use AI here” (dos/don’ts, examples, templates)

  • Governance and approval flows (who reviews what; when humans must intervene)

  • Adoption measurement (usage targets, quality scoring, productivity benchmarks)

  • Change communications and enablement assets (FAQs, office hours, champions program)

Scale-up roadmap with clear ROI metrics

Once a pilot proves value, we turn it into an operating system that scales across teams and tools.

Includes:

  • Scale plan by quarter (what expands, when, and with what dependencies)

  • ROI model: time saved, cost avoided, lift in conversion/retention, pipeline impact

  • KPI dashboard definitions (inputs, outputs, and leading indicators)

  • Process hardening: monitoring, audit trails, versioning, and continuous improvement

  • Operating cadence: monthly insights, iteration backlog, and governance reviews

Plan a 60-day pilot