Your Lakehouse Is Powerful. Your Enterprise Stack Cannot Act on It.
Databricks unifies data engineering, analytics and AI on a single platform. But CRM, ERP, marketing, support and fulfillment systems remain disconnected from lakehouse intelligence, forcing teams to rely on manual CSV exports, custom Python scripts and brittle webhooks that break under enterprise load.
Data & Analytics Teams - Faster Activation
Push Databricks ML model scores, Delta Lake segments and Mosaic AI predictions into CRM, CDP and marketing systems without writing reverse-ETL pipelines or custom Python scripts.
Eliminate 25+ hours per week of manual data exports, CSV transformations and pipeline maintenance between Databricks and downstream enterprise tools.
Transform lakehouse intelligence into automated triggers that drive real-time action across sales, marketing, operations and customer success workflows.
Architects & IT - Governed Integration at Scale
Connect Databricks to enterprise systems without building custom middleware, scheduled Airflow DAGs or brittle webhook integrations that require ongoing developer maintenance.
Govern every data flow with Unity Catalog alignment, full audit trails, role-based access controls and lineage tracking from lakehouse to activation endpoint.
Scale from a single CRM connector to enterprise-wide orchestration using the same no-code visual designer with zero infrastructure overhead.
Business Leadership - Prove Lakehouse ROI
Prove Data Intelligence Platform ROI by activating Databricks insights in every revenue-generating system within 45 days. Our approach focuses on delivering measurable outcomes that empower teams across all levels:
- - Eliminate $220,000+ in annual labor costs by automating manual model score exports and pipeline maintenance between Databricks and enterprise systems
- - Achieve 5-8x return on lakehouse investment within the first year by connecting AI outputs to operational workflows
- - Reduce integration maintenance by 75% with governed no-code workflows requiring zero developer upkeep
Predictive Score Activation from Lakehouse to CRM & CDP
Scenario: A B2B enterprise runs Databricks for ML model training and Salesforce for pipeline management. Data science produces propensity models and LTV predictions weekly, but scores sit in Delta Lake tables. Marketing manually exports CSVs, reformats data and uploads to CRM and CDP tools, creating 5-7 day activation delays on every model refresh.
Solution: Put It Forward automatically syncs Databricks ML scores, segment tags and next-best-action recommendations into Salesforce, HubSpot and CDP tools within minutes of model completion. CRM stage changes and engagement signals flow back to Delta Lake for continuous model improvement. AI-powered field mapping matches lakehouse columns to target system fields with 95%+ accuracy.
Results: Insight-to-action time drops from 2-3 weeks to under 4 hours. Campaign conversion rates increase 34% with real-time audience activation. Manual export labor eliminated, reclaiming 25+ hours per week for data science and campaign strategy. Model accuracy improves 18% with continuous feedback loops from CRM engagement data.
Unified Enterprise Data Flows Across Lakehouse & Operational Systems
Scenario: A mid-market company maintains 15+ enterprise systems alongside Databricks. Custom Python scripts, Airflow DAGs and scheduled file transfers connect lakehouse outputs to CRM, ERP and analytics tools. Each integration requires dedicated developer maintenance, breaks under schema changes and lacks centralized monitoring or governance.
Solution: Put It Forward replaces fragmented custom integrations with governed no-code workflows. Bidirectional sync connects Delta Lake tables, Unity Catalog schemas and Lakeflow pipeline results to Salesforce, ServiceNow, Snowflake and 340+ systems. All data flows respect Unity Catalog governance policies with full lineage tracking from lakehouse to activation endpoint.
Results: Integration maintenance drops 75%, eliminating $220,000+ in annual developer labor. Schema changes propagate automatically without breaking downstream workflows. Time-to-deploy new integrations compresses from 4-8 weeks to 2-5 days. Revenue forecast accuracy improves 30% with unified cross-system data flowing into Databricks for ML training.
Agent Bricks & Mosaic AI Output Orchestration Across Business Systems
Scenario: A global enterprise deploys Databricks Agent Bricks for multi-agent coordination and Mosaic AI for predictive scoring. AI agent outputs including recommendations, risk assessments and compliance flags remain trapped inside the Databricks environment, preventing operations, finance and support teams from acting on agent intelligence.
Solution: Put It Forward connects Agent Bricks multi-agent outputs and Mosaic AI predictions to downstream business tools through governed orchestration workflows. Recommendations auto-populate CRM records. Risk scores trigger incident management in ServiceNow. Compliance flags route to audit queues. Every agent action is logged with full lineage aligned to Unity Catalog governance.
Results: AI agent recommendations reach operational teams in minutes instead of days. Manual routing of agent outputs eliminated, reclaiming 20+ hours weekly. Incident response time decreases 60% with automated risk score activation. Full audit trail satisfies regulatory requirements for AI-driven decisions across finance and compliance workflows.
Triggers, actions and objects spanning Databricks Data Intelligence Platform orchestrated through Put It Forward's no-code integration designer
- ML score activation: Push propensity models, LTV predictions, churn scores and recommendation outputs from Delta Lake tables directly into CRM, CDP and marketing tools for real-time enrichment and audience activation
- Job completion triggers: Automatically initiate multi-step business processes when notebook runs, MLflow model scoring jobs, Lakeflow ETL pipelines or Agent Bricks tasks complete successfully
- AI-powered field mapping: Map Delta Lake columns and Unity Catalog schemas to target system fields with 95%+ auto-match accuracy across standard and custom data types in 340+ enterprise systems
- Cross-system orchestration: Chain Databricks outputs with downstream actions in Salesforce, Snowflake, HubSpot, ServiceNow, Adobe and hundreds more in a single workflow with conditional logic and error handling
- Governance & lineage: Enforce Unity Catalog access controls, track data lineage from lakehouse to activation endpoint and maintain SOC 2 and ISO 27001 compliance across every integration flow
How Databricks intelligence flows through your enterprise systems with Put It Forward orchestration
- No-Code Multi-Step Workflows - Design complex Databricks-to-enterprise workflows visually without Python scripts, Airflow DAGs, webhooks or custom middleware development
- Process Orchestration Across Teams - Route Databricks ML outputs and AI agent decisions to sales, marketing, finance and operations systems with conditional logic and role-based access
- Integrated Reporting & Analytics - Monitor every data flow between Databricks and connected systems with real-time dashboards, error tracking, SLA compliance and sync health metrics
- Agent-Based Workflow Integration into Databricks - Connect Agent Bricks multi-agent outputs and Mosaic AI predictions to governed cross-system actions and automated decision workflows
- Scalable AI-Powered Enhancements - Add new systems, workflows and analytics in 1-2 days using the same no-code designer as your Databricks environment scales across teams and workloads
The Only Option Built for Governed, Multi‑System Integrations
| Capability | Put It Forward | Code/Middleware | RPA | Vendor Connector | Bulk File Transfer |
|---|---|---|---|---|---|
|
Architecture & Scale |
|
|
|
|
|
|
No Code Solution |
|
No |
|
|
No |
|
Bi-Directional Integrations |
|
|
NA |
Limited |
NA |
|
Data Transformations (with validation) |
|
|
No |
No/Fixed Mapping |
Limited |
|
Data Persistence / State Management |
|
No |
No |
No |
N/A |
|
API Gateway Compatible |
|
Build/3rd Party |
No |
No |
No |
|
Service Integration |
|
Yes, Build |
No |
No |
N/A |
|
Secure On-Premise Integration |
|
Requires Special Config/No |
No |
No |
No |
|
Intelligence & Automation |
|
|
|
|
|
|
Custom Business Rules |
|
Limited |
Limited to scripts |
No |
No |
|
Process Automation & Orchestration |
|
Limited |
|
Not focused |
No |
|
Process Mining |
|
No |
No |
No |
No |
|
AI Agents (Integrated) |
|
|
|
No |
No |
|
Governance & Operations |
|
|
|
|
|
|
Integrated Data Governance |
|
No, 3rd Party |
Not Focused |
Not Focused |
No |
|
Error Capture and Correction |
|
Limited, Build |
No, Scripted |
No |
Not Focused |
|
Integration Reporting, Analytics and Alerts |
|
Limited |
N/A |
Limited |
No |
|
Audit Reporting and Analytics |
|
No, Limited |
No |
No |
Limited |
|
Full API Access and Support |
|
|
No, Limited |
No |
N/A |
|
Implementation support |
|
Self Funded/SoW |
Self Funded/SoW |
Self Funded/SoW |
Self Directed |
|
Partner API Roadmap Alignment |
|
No |
No |
No/Lagging |
NA |
Yes, Native
We all implement new technology; a transformation or automation project can be simple, targeted, or enterprise-wide.
Accelerate time-to-value and reduce risk with a proven integration plan.
Our proven methodology ensures low-risk, high-impact integrations. Most clients see measurable ROI in the first year accelerated by best practices and enterprise-grade support.
- Most clients see improved intelligent automation performance within 48 hours
- Zero disruption guarantee - No downtime to existing systems, pipelines or data loads
Implementation timeframes depend on scope and complexity:
- Hour 1-2: Configure connection source and destination
- Hour 2-36: Business rule configuration and validation
- Hour 36-48: Full deployment
Put It Forward Databricks Resources
Guide to Agentic Workflows
This guidebook gives Integration Designer users a practical roadmap to implement AI agentic workflows, integrating intelligent automation and predictive analytics, to optimize business processes and decision-making.
Two Ways To Integrate Agents
Learn how to integrate an agent into a process using two different methods via the Put It Forward Integration Designer and a direct service call. This helps both non-technical and technical teams find new revenue.
Agentic AI Orchestration
Put It Forward’s Agentic AI Orchestration connects AI agents, data, and automation tools into end-to-end workflows so enterprises can cut cycle times, handle exceptions intelligently, and scale automation for measurable ROI in weeks, not months.
Revenue, Operations and IT Playbook
Learn how intelligent automation streamlines tasks, integrates data, and delivers measurable business benefits with practical strategies and examples.
Buyer Guide For Intelligent Automation
Gain expert guidance on intelligent automation solution types, approaches, outcomes, and key considerations to make confident, high-impact buying decisions.
How Decision Automation Works
See and learn how decision automation works at scale. Connect the pieces, tools, and outcomes together in Put It Forward to unlock value and reduce complexity.