THE DIFFERENCE
Anyone Can Point A Model At Your Data. Few Firms Can Put A Governed Claude Agent Inside A Production Marketo, AEM Or Salesforce Instance With Guardrails Procurement Signs Off On.
CLAUDE
YOUR STACK
Read And Write, Nothing Destructive
Evidence And Audit Trail Back To The Team
Agents Never Touch A Production System Directly. Every Action Routes Through A Governance Layer Your Auditors Can Read.
WHAT WE DO
One Firm That Builds Claude Agents And Runs The Adobe And Salesforce Systems They Work Inside. Both Practices Report To The Same Engineers.
PILLAR 01 · ENTERPRISE AI ON CLAUDE
Autonomous Agents, Workflow Copilots, GEO (Being Cited In AI-Generated Answers), And The Governance Layer That Lets Legal And IT Say Yes.
70% MLR Review Time Saved • Up To 80% Faster Metadata Tagging
PILLAR 02 · ADOBE CX ENTERPRISE
Autonomous Agents, Workflow Copilots, GEO (Being Cited In AI-Generated Answers), And The Governance Layer That Lets Legal And IT Say Yes.
Rapid Deployment Kits From $30K • AEM Assets Live In 8—12 Weeks • Support From $3,000/Mo
WHERE THE TWO MEET, IN PRODUCTION TODAY
Adobe Hosts A Model Context Protocol (MCP) Server Exposing 100+ Marketo Operations. We Add The Skills And Guardrails That Make It Safe.
AI Metadata And Content-Supply-Chain Automation, Proven At Fortune 100 Scale With QuipTag.
Under Claudeforce, Claude Runs Inside Salesforce's Agentforce. We Add The Governance And The Engineering.
AMarketo ↔ Salesforce Marketing Ops And Agentforce + Claude Agent Engineering, Built On What We Already Run In Production.
SOFTWARE WE SHIP
The Outcomes Below Came Out Of Software Our Own Engineers Designed And Now Run In Production. Advising On Enterprise AI And Building It Are Different Capabilities.
STANDALONE PLATFORM · KORUIQ.COM
Observability For The Marketing Tag Layer. KoruIQ Crawls Pages, Forms And Journeys Daily Across Staging And Production, Catching Tag Regressions Within 24 Hours Instead Of At Quarter End. Its Assistant Runs On Claude, And It Sells As Its Own Product.
$4M
Ecoverable Media Spend Identified In A Year At A Fortune 100 Pharma, On A $50M Media Budget
BUILT FOR THE ADOBE STACK
AI Metadata Authoring Inside AEM Assets. It Generates Taxonomy Tags Automatically So A Library Stays Findable As It Grows, Feeding Cleaner Data Into Adobe Analytics And CJA.
Up To80%
Faster Metadata Tagging At A Fortune 100 Pharma
BUILT FOR THE ADOBE STACK
Agentic Automation For Medical, Legal, And Regulatory Review. It Generates The MLR Document And Replaces Email Chains With An Auditable Workflow, With Human Sign-Off Kept At Every Gate.
70%
Of MLR Review Cost And Time Saved
The Same Engineers Who Built These Run Your Engagement. See The Case Studies Behind Each Number, Or Read About The Firm.
HOW WE ENGAGE
One Named Motion Behind Every Engagement. Fixed Scope At The Front, Managed Services At The Back, No Science Projects In Between.
