★ Consulting & Training

Make Adobe, Braze, and Salesforce actually work.

Most enterprise platforms get bought, half-implemented, and then quietly underused. We come in to design the architecture, build the missing pieces, train the team that will run it, and stay long enough to see the second-quarter results.

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★ Three tracks

Pick a stack. We have shipped on it.

Each track covers the full stack: architecture, build, governance, and the training that makes your team independent. Pick the one you already own, or have us help you choose.

Adobe Experience Cloud

Adobe Experience Cloud

📦 AEP · RT-CDP · AJO · CJA · Analytics · Target

We design, implement, govern, and train teams on the full Adobe Experience Cloud stack: from the foundational data platform to the journeys, analytics, and personalization that sit on top of it.

Adobe Experience Platform (AEP)

  • Data architecture: XDM schema design, identity resolution rules, dataset planning, source connector strategy
  • Governance: data usage labels, privacy policies, consent flows aligned to GDPR, CCPA, India DPDP
  • Zone1 / Zone2 architecture for hybrid environments where the operational store and the analytical store live on different sides of a compliance boundary
  • Operational health: dataflow monitoring, query service tuning, profile fragmentation cleanup

Real-Time CDP

  • Unified customer profiles across web, mobile, CRM, point of sale, and offline events without third-party cookies
  • Segment design for B2C and B2B audiences with streaming, edge, and batch activation
  • Destination architecture: paid media, email, push, SMS, ad networks, server-side activation
  • Migration from legacy CDPs (Tealium, Segment, mParticle) with parity testing

Adobe Journey Optimizer (AJO)

  • Journey design across email, SMS, push, in-app, and webhook channels with real-time event triggers
  • Decisioning offers, content fragments, and AI-generated message variants with experimentation built in
  • Operational journeys (transactional, lifecycle) co-existing with marketing journeys on the same profile graph
  • Frequency capping, suppression rules, journey orchestration across owned and paid channels

Customer Journey Analytics (CJA)

  • Cross-channel data model with stitching keys, identity graphs, and lookup tables
  • Workspace dashboards for marketing, product, and executive stakeholders
  • Audience publishing back to Real-Time CDP and AJO for closed-loop measurement
  • Migration paths from Adobe Analytics to CJA with parity reporting

Adobe Analytics & Adobe Target

  • Analytics implementation in Tags and via Web SDK, data layer design, eVar / prop strategy
  • Target activity setup for A/B, MVT, automated personalization, recommendations, and on-site decisioning
  • Measurement frameworks tied to revenue, engagement, and downstream business outcomes
  • Bridging Analytics segments into CDP audiences for paid media activation
Talk to us about Adobe Experience Cloud→
Braze

Braze

📦 Canvas Flow · Connected Content · Liquid · BrazeAI

We implement Braze end to end: data ingestion, identity, Canvas Flow journeys across every channel, dynamic personalization with Liquid and Connected Content, and the operational practices to keep it humming at scale.

Foundation and data

  • SDK integration (iOS, Android, Web), server-to-server REST API, and Currents data streaming into Snowflake, BigQuery, or S3
  • User identity strategy: external IDs, aliases, anonymous-to-known stitching, GDPR-compliant deletion
  • Catalog architecture and Connected Audiences for personalization at scale
  • Data Transformation pipelines and Cloud Data Ingestion from data warehouses

Canvas Flow journeys

  • Welcome flows, onboarding sequences, path-to-purchase journeys, abandoned-cart recovery, win-back, churn prediction
  • Branching logic on real-time user behavior, custom events, and predictive scores
  • A/B and multivariate testing within Canvas, with statistical-significance guardrails
  • Cross-channel orchestration: email, push, in-app, content cards, SMS, WhatsApp, and webhook

Connected Content and Liquid

  • Dynamic personalization with Liquid: nested conditionals, loops, custom filters, time-zone aware logic
  • Connected Content for live API calls: product recommendations, inventory checks, geo-aware content, weather and event triggers
  • Content Blocks for design system reuse across hundreds of messages
  • Templating standards and review workflows to keep Liquid maintainable as the team grows

BrazeAI and intelligence

  • Predictive purchase, predictive churn, send-time optimization, and Intelligent Channel selection
  • AI Item Recommendations tied to your product catalog with business rules
  • Generative content with Sage AI for subject lines, push copy, and Liquid snippets, with brand guardrails
  • Experimentation discipline: holdouts, incrementality testing, and post-launch performance review
Talk to us about Braze→
Salesforce

Salesforce

📦 Data Cloud · Marketing Cloud · Einstein · Agentforce

We help Salesforce customers move from configured CRM to a connected, AI-native operating system. Data Cloud as the spine, Marketing Cloud as the activation surface, Einstein and Agentforce as the intelligence layer.

Salesforce Data Cloud

  • Data model design: data streams, calculated insights, unified profile, identity resolution
  • Activation to Marketing Cloud, Sales Cloud, Service Cloud, ad platforms, and external destinations
  • Real-time data graphs for Agentforce grounding and decisioning at point of need
  • Migration from Customer 360 Audiences, third-party CDPs, and standalone CRM Analytics environments

Marketing Cloud Engagement & Personalization

  • Journey Builder, Email Studio, MobilePush, SMS, and Web Studio implementation and audit
  • Marketing Cloud Personalization (formerly Interaction Studio) for on-site, in-app, and email personalization
  • AMPScript, SSJS, and Content Builder standards for scalable, reusable content
  • Identity unification between Marketing Cloud Contact Keys, Data Cloud Unified IDs, and downstream CRM records

Sales Cloud & Service Cloud

  • Sales Cloud configuration: lead routing, opportunity scoring, forecasting, partner channels
  • Service Cloud: omni-channel routing, knowledge base, case milestones, swarming, voice integration
  • CPQ for guided selling, approval workflows, and renewal automation
  • Industry Cloud customizations for Financial Services, Health, and Manufacturing

Einstein and Agentforce

  • Einstein predictive: lead scoring, opportunity insights, case classification, next-best-action
  • Einstein generative: email draft assist, service reply assist, knowledge article generation, work summaries
  • Agentforce: autonomous agents for service (Einstein Service Agent), sales SDR, and internal copilots, grounded in Data Cloud
  • Einstein Trust Layer: prompt-level governance, PII masking, audit logging, model isolation

Integration and reporting

  • MuleSoft API design and event-driven integration for upstream and downstream systems
  • Tableau and CRM Analytics dashboards aligned to revenue, retention, and service KPIs
  • Slack as the system-of-record interface for sales and service workflows powered by Agentforce
Talk to us about Salesforce→
★ Training programs

Hands-on, lab-based, your data.

We do not lecture from generic slides. Every program runs against your real schemas, real segments, real journeys, and real dashboards.

◐

Adobe Experience Platform · 40 to 120 hours

Hands-on, instructor-led training tailored to your roadmap. Architects learn schema design and identity; marketers learn segment, journey, and decisioning; engineers learn streaming activation and edge.

◑

Personalization · 35 to 50 hours

Standard curriculum across Adobe Target, AJO decisioning, Braze Liquid, and Marketing Cloud Personalization. Lab-based with your real catalog, real audiences, and real journeys.

◒

Deskside coaching · ongoing

Adobe-certified and Braze-certified instructors embedded with your team during go-live. Pair programming on Liquid, AMPScript, and CJA. Office hours for ad-hoc questions.

◓

Executive briefings · 4 hours

A focused half-day for leadership: what AEP, Braze, and Salesforce actually do, where the value sits, what the org needs to make it real, and how to measure progress.

★ How we work

Senior people. Two-week sprints. No theatre.

Same engagement model as our agent work: a discovery sprint to map the gap, a written plan with success criteria, two-week delivery sprints with weekly demos, and a documented hand-back when the team is ready to own it.

①

Discovery & gap

We sit with your data, marketing, and engineering teams, read the implementation, and write the honest assessment. You leave the sprint with a prioritised opportunity map.

②

Plan & success criteria

We translate the assessment into a phased plan with measurable success criteria, dependencies, and the team shape needed on your side and ours.

③

Build, train, hand back

Two-week sprints with weekly demos. Documentation, ADRs, and runbooks delivered with the build. Training runs in parallel so the receiving team is competent at go-live.

④

Sustain & tune

Monthly check-ins for the agreed retention window: KPI review, audit of new use cases, deskside support, and swapping in newer features as the platforms evolve.

★ Ready when you are

Have a stuck implementation, a missing capability, or a team that needs to learn the platform fast?

Get in touch→See the agent practice