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Put AI to work where it actually moves the number.
Agents, copilots, AI-search visibility, and the governance to run them, shipped into the Adobe and Salesforce stacks you already operate.
PROOF
Production numbers, not projections.
70%
MLR review cost and time saved with QuipMLR
up to 80%
faster metadata tagging with QuipTag for AEM at a Fortune 100 pharma
$4M
recoverable media spend per year found by KoruIQ at a Fortune 100 pharma
100+
Marketo operations a governed Claude agent can run via Adobe's hosted MCP server
SERVICES
Six ways we put Claude to work.
Each service line ships with a number to move, a governed pilot, and a run plan.
Claude Agents
Agents that own campaign QA, content operations, MLR review, and data hygiene, with approval gates and audit trails.
EXPLORE CLAUDE AGENTS →Claude Copilots
Assistants in the daily workflow: pre-launch Marketo checks, analyst copilots on CJA data, content copilots in AEM.
EXPLORE CLAUDE COPILOTS →Claude on Adobe
Claude wired into AEM, Marketo, CJA, GenStudio, and Journey Optimizer, including Adobe's hosted Marketo MCP server with 100+ operations.
CLAUDE ON THE ADOBE STACK →Claude on Salesforce
Marketo ↔ Salesforce operations AI, Agentforce strategy with Claude engineering, and CRM-grade governance.
CLAUDE ON SALESFORCE →GEO & Brand Visibility
Be the answer when AI does the searching: GEO audits, Adobe Brand Visibility, structured data, prompt-level measurement.
GEO & BRAND VISIBILITY →AI Governance & Safety
Approval gates, non-destructive scopes, allowlists, model risk controls, compliance workflows. The layer that lets legal say yes.
AI GOVERNANCE & SAFETY →THE DIFFERENCE
AI that ships, not AI that stalls in pilots.
Most enterprise AI dies between the demo and the deployment: no owner, no guardrails IT will sign, no path into production. We build in the opposite order.
Where pilots stall
A model pointed at exported data. No named business metric. Security review starts after the build. The pilot sits in a sandbox nobody's workflow touches.
How production ships
Start from a number (70% MLR review time, 80% tagging effort, $4M in media spend) and work backward. Governance is designed first, the agent runs inside the production system, like Claude on Adobe's hosted Marketo MCP, and a 24×5 team owns it after go-live. See QuipMLR and our results page.
HOW WE ENGAGE
One motion: FrontRow.
Every stage opens and closes with a priced offer.
ASSESS
Find the number
A scorecard, prioritized use cases with ROI, a governance model, and a 90-day plan.
PILOT
Prove it small
One workflow, one team, explicit success criteria, scoped to show the outcome in weeks.
PRODUCTION
Ship it
Hardened builds and Rapid Deployment Kits take the pilot to production at a fixed fee in 6 to 12 weeks.
RUN
Keep it winning
Tiered managed services run the system 24×5 from our global delivery centers.
PACKAGED OFFERS
Fixed scope. Fixed fee. A number at the end.
Executive alignment, prioritized use cases with ROI, a governance model, a 90-day plan.
4 to 6 weeks
from $15,000
Sync integrity, lead lifecycle, and the ops workflows AI can take over. See Marketo ↔ Salesforce Ops.
Fixed scope
Fixed fee
AI-search visibility baseline, schema and llms.txt gap analysis, deployment plan. See GEO & Brand Visibility.
Fixed scope
Fixed fee
KEEP EXPLORING
Where AI meets the platforms
Marketo has an MCP server
Adobe's hosted server exposes 100+ operations, and Adobe’s supported clients include Claude Desktop and Claude Code.
MARKETO MCP + CLAUDE →Compliance at agent speed
QuipMLR cuts Medical-Legal-Regulatory review cost and time by 70%, platform-agnostic and governed.
EXPLORE QUIPMLR →AI on the Adobe stack
Deep Adobe delivery and Anthropic Claude engineering under one roof.
CLAUDE ON ADOBE →ANSWERS · FAQ
What buyers ask about our AI services
NextRow Digital offers six AI service lines built on Anthropic Claude: autonomous agents, workflow copilots, Claude integrated with the Adobe stack, Claude on Salesforce, GEO and LLM search optimization, and AI governance and safety. All six are delivered through the FrontRow methodology by an Anthropic Claude Certified Partner.
The Claude Readiness Assessment is NextRow's standard AI entry point: a fixed-scope engagement from $15,000, completed in 4 to 6 weeks. It delivers executive alignment, prioritized use cases with ROI estimates, a governance model, and a 90-day plan. This is the Assess stage of the FrontRow methodology.
NextRow is an Anthropic Claude Certified Partner, and Claude is where enterprise platform vendors are meeting agentic AI. Adobe's hosted Marketo MCP server, for example, exposes 100+ operations with Claude Desktop and Claude Code among Adobe’s supported clients. Building on one model family lets NextRow ship hardened governance patterns instead of relearning them per project.
A governed pilot typically runs in weeks, and production hardening takes 6 to 12 weeks under the FrontRow methodology. Platform foundations move on the same clock: the AEM Assets Rapid Deployment Kit, for example, delivers in 8 to 12 weeks and cuts deployment time by up to 60%.
Every deployment ships governance-first: approval gates on high-impact actions, non-destructive write scopes, instance allowlists such as the Munchkin-ID allowlist on Adobe's Marketo MCP server, and full audit trails. The governance model is delivered in the Claude Readiness Assessment before any build begins.
No. Adobe is the deepest practice (NextRow is an Adobe Gold Solution Partner), and the firm also delivers Marketo-to-Salesforce ops AI and Agentforce strategy, and products like QuipMLR are platform-agnostic. The constant is Claude plus governance rather than any single stack.
Find the number AI should move at your company.
One conversation. A fixed-scope assessment from $15,000. A 90-day plan with the ROI attached.