Solution Blueprint Recommender Agent Faster Time to Value

Name: Put It Forward Explained: Head of Product
Uploaded: 2024-07-14T00:00:00+00:00
Duration: 2 min 9 s
Channel: Put It Forward
Description: Put It Forward head of product, Mark Cowan shares a brief overview of the platform, intelligent automation. Focused on how we can make better decisions with the todays data and systems to drive better outcomes.

For IT & ops - predictive AI reads your tech stack & recommends pre-built flows to deploy instantly.

Accelerate time-to-value 73% with AI-matched solution blueprints for your exact tech stack
Auto-recommend Q2C, O2C & Customer 360 flows based on connected systems & data sources
Deploy pre-built solutions across 500+ connectors with no-code configuration in days
"2-day implementation" guarantee - Most clients go live in days, not months
SOC 2 + ISO 27001 compliance - Enterprise-grade security and governance built-in

Get a Demo

ROI Calculator

Trusted by Fortune 500 leaders in financial services, technology, and global enterprise.

Your Stack Has the Connectors - You Just Need the Right Blueprint

Most enterprises have deployed dozens of connectors but use only a fraction of the automation they could support. Teams waste weeks researching which pre-built flows fit their stack, missing proven solutions that could go live in days. The Solution Blueprint Recommender Agent scans your connectors and data sources, matches them to proven automation blueprints like Q2C, O2C, and Customer 360, and delivers deployment-ready recommendations - so your team stops searching and starts scaling.

Solution Blueprint Recommender Agent - Tech Stack Matching Use Case

Auto-Match Solutions to Your Tech Stack

Cut solution discovery time 73% with predictive AI that maps your connectors to proven automation blueprints.

Scenario: An enterprise has deployed 80+ connectors across CRM, ERP, marketing, and billing systems. Teams manually research which pre-built flows exist, missing solutions that match their exact stack - delaying automation adoption by months.

Solution: The agent scans all active connectors, data sources, and system configurations via predictive analytics, then matches them against a library of proven solution blueprints - surfacing Q2C, O2C, and C360 flows ranked by fit and deployment readiness.

Results: Solution discovery time drops 73% within 30 days. Teams deploy matched blueprints in days instead of months. First-pass automation coverage increases from 35% to 68% of eligible cross-system workflows.

Solution Blueprint Recommender Agent - Q2C O2C C360 Deployment Use Case

Recommend & Deploy Q2C, O2C & C360 Blueprints

Deploy pre-built revenue flows 65% faster by matching connected systems to Q2C, O2C, and Customer 360 templates.

Scenario: A mid-market firm wants to deploy Quote-to-Cash automation but doesn't know which pre-built flows match their Salesforce, NetSuite, and billing stack. Manual scoping takes weeks of consulting and still misses dependencies between systems.

Solution: The agent maps the firm's connected systems to pre-built Q2C flow templates, identifies which connectors are already active, flags missing dependencies, and generates a deployment-ready blueprint with estimated time-to-value and ROI projections.

Results: Q2C flow deployment accelerates 65% - from 12 weeks to under 4. Dependency gaps are identified before scoping begins. Revenue automation goes live 45 days faster than manual consulting-led implementations.

Solution Blueprint Recommender Agent - Hidden Automation Opportunities Use Case

Surface Hidden Automation Opportunities

Unlock 40% more automation value by surfacing untapped flows and cross-system opportunities your team missed.

Scenario: An ops team has automated 12 core workflows but has no visibility into which additional flows their connected systems could support. Untapped automation opportunities sit idle because no one maps connector coverage to solution blueprints.

Solution: The agent applies pattern-matching predictive algorithms across all connector activity, data flow volumes, and system usage to surface automation blueprints the team hasn't considered - ranked by incremental value, effort, and dependency readiness.

Results: Automation coverage expands 40% within 90 days as the agent surfaces 15-25 new flow opportunities per enterprise stack. Teams prioritize by ROI and deploy incrementally with no additional connector setup required.

Predict, Decide & Act - How the Solution Blueprint Recommender Agent Works

Solution Blueprint Recommender Agent Workflow

From manual solution research to predictive, AI-matched blueprint recommendations in 6 steps - no code, no consulting delays, no missed automation opportunities.

Step 1 - Connect: The agent connects to your Integration Designer environment, scanning all active connectors, data sources, APIs, and system configurations across 500+ connector types to build a real-time map of your tech stack.
Step 2 - Analyze: Automated profiling catalogs connector types, data flow patterns, system dependencies, transformation rules, and usage volumes - creating a normalized fingerprint of your integration environment.
Step 3 - Predict: Predictive analytics compare your stack fingerprint against a library of proven solution blueprints, producing fit scores, gap analyses, and deployment readiness rankings for Q2C, O2C, C360, and other flows.
Step 4 - Decide: Business rules and guardrails rank recommendations by strategic value, deployment effort, dependency readiness, and estimated ROI - filtering out low-fit blueprints and surfacing only actionable deployment paths.
Step 5 - Act: The agent generates deployment-ready blueprints with connector maps, dependency checklists, configuration steps, and estimated timelines - delivered to teams via dashboard, Slack, or Teams for immediate action.
Step 6 - Learn: Deployment outcomes feed back into predictive analytics, refining recommendation accuracy, recalibrating fit scores based on actual results, and surfacing new opportunities as your stack evolves.

ROI Benefits: Solution Blueprint Recommender Agent

Quantified outcomes from replacing manual solution research with predictive AI-driven blueprint matching & deployment acceleration.

Time-to-Value Acceleration: Cut solution discovery and deployment time 73% within 30 days - predictive analytics match your exact tech stack to proven blueprints, eliminating weeks of manual research and consulting scoping cycles.
Deployment Speed Gain: Deploy pre-built Q2C, O2C, and C360 flows 65% faster - from 12 weeks to under 4 - as the agent auto-maps active connectors to flow templates and generates deployment-ready blueprints with dependency checklists.
Automation Coverage Expansion: Surface 40% more automation opportunities within 90 days - pattern-matching predictive algorithms identify 15-25 untapped flows per enterprise stack that teams missed through manual discovery.
Consulting Cost Reduction: Reduce solution scoping and consulting fees by 60% - the agent replaces multi-week discovery engagements with instant, AI-generated blueprint recommendations matched to your live connector environment.
Stack Utilization Lift: Increase connector utilization from 35% to 68% within 60 days - the agent identifies underused connectors and recommends flows that activate dormant system connections into revenue-generating automation.

Solution Blueprint Recommender Agent Leader

David Hrynk

Director of Program Management

“Having our global teams all working from the same page is critical to our success. Put It Forward exceeded way beyond where others died.”

Uma Asthana

Director of Operations and Technology

“What you just did for our teams' productivity and how we work was magic - you guys are rock stars, I’m truly blown away”

Udo Waibel

CTO

“Put It Forward takes us where no others could - we struggled for years with an enterprise data story - this solved it across the board”

Sarika Saoji

Marketing Platform Technologist

“For me when our internal teams tried to replicate the Put It Forward technology that was when the pin dropped … these are really smart people”

Check Out Some Case Studies

Why Teams Choose Agentic AI Over Rules, Chatbots, and Manual Work

The Only Option Built for Safe, Explainable, Multi‑System Decisions

17 agent capabilities that matter most when choosing between rules, generic LLM chatbots, and manual processes.

Capability	Put It Forward Agent	Traditional Rules / Workflow Automation	Generic LLM Chatbot	Manual Human Process
Agent execution & scale
No‑Code Agent Configuration	Yes, configure via UI + templates	Limited, technical admin	Limited, prompt‑based only	No
Multi‑System Context Awareness	Yes, native across connected systems	Yes, with complex wiring	No, single‑channel context	Yes, but inconsistent
Data Preparation & Validation	Yes, uses integration layer transforms and validators	Build and maintain logic	No state or very limited	Yes, in people’s heads/spreadsheets
Stateful, Long‑Running Workflows	Yes, native	Limited, brittle state handling	No state or very limited	Yes, in people’s heads/spreadsheets
Enterprise Integration Footprint	Runs on the same governed integration fabric (APIs, services, on‑prem)	Build per system	Channel‑only	System by system
Decision Intelligence & Autonomy
Business Rules + AI Policies	Rules + ML + policy guardrails	Rules only	Ad hoc LLM behavior	Tribal knowledge
End‑to‑End Decision + Action	Yes, orchestrates decisions and API actions across systems	Yes, but static and brittle	Suggests, doesn’t execute across systems	Yes, but slow and inconsistent
Continuous Process Intelligence	Yes, Embedded	No	No	Manual analysis
Autonomy Modes	Simulate, Recommend, Auto‑Act Within Guardrails	Auto‑Act only, no simulation or learning	Suggest only, no structured guardrails	Manual judgment only
Trust, Control & Ops for Agents
Policy & Guardrail Management	Central policies, RBAC, data scopes	Scattered in config and code	Prompt only, no enforcement	Policy documents, inconsistent enforcement
Safe Failure Handling	Native error capture, auto‑rollback/compensation options	Limited, build your own	Opaque failures	Manual investigation & fixes
Agent Performance & Impact Analytics	KPIs, action logs, impact by process (Q2C/O2C)	Basic logs, no business KPI tie‑in	No structured reporting	Manual reporting
Explainability & Audit Trail	Why‑logs for each action, full audit trail	Limited technical logs	Nearly none	Email, tickets, inconsistent records
Agent Extensibility & Integration APIs	APIs/SDKs to embed and extend agents + integration	Varies, often product‑specific	Mostly channel APIs, not orchestration	N/A
Agent Design & Tuning Support	Full design/tuning support and best‑practice playbooks	Self‑serve / ad‑hoc	Self‑serve / ad‑hoc	Self‑serve / ad‑hoc
Agent & Integration Roadmap Alignment	Co‑evolves with connector and system API roadmaps	No / lagging	No / lagging	No / lagging

The intelligent decision automation playbook for revenue, operations and IT

IDC Put It Forward Next Generation Business Requirements

Take A Tour Of How The Agents Work

Next Best Customer Agent Activation

See how Put It Forward Predictive Analytics uses no-code Agentic AI to predict your next best customer, connect key data sources, and automate decisions that grow revenue.

Target high-potential customers and improve marketing ROI with predictive analytics.
Integrate data, create models, and orchestrate AI agents without writing code.
Keep your customer acquisition strategy continuously optimized as the market changes.

Natural Language Automation

Put It Forward’s Agentic Co-Pilot lets anyone use natural language to automate and change complex workflows, speeding decisions, easing IT bottlenecks, and enabling new AI-powered ways of working.

Trigger multi-step changes with simple conversational commands.
Boost productivity by simplifying complex tasks and reducing specialized effort.
Help business and technical teams co-create smarter, more agile processes.

Conversational AI Agents

Discover how Put It Forward's AI-powered Integration Designer uses conversation to simplify complex business rule creation.

Convert complex business rules from natural conversation into functions
Go faster without having to learn how Put It Forward works at an expert level
Reduce the costs of IT and increase the quality of your data

3-Day Agent Automation Enhancement, Not 3-Month Projects

Put It Forward Workday ServiceNow Integration Project Plan

Get your custom demo

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 Agentic 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.

Guide to Agentic AI Workflows

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.

How to integrate an agent

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.

Solution: Agentic AI Orchestration

What You Should Do Next

Get My AI Demo:

Unlock proven strategies, real-world examples, and actionable steps to implement AI agentic workflows in your organization. No sales pitch, just practical guidance.

Get A Demo

Key AI Transformation and Leadership Assets

Revenue Operations IT Intelligent Automation Playbook

Revenue, Operations and IT Playbook

Learn how intelligent automation streamlines tasks, integrates data, and delivers measurable business benefits with practical strategies and examples.

Get My Intelligent Automation Playbook

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.

Get My Intelligent Automation Buyer Guide

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.

Solution Blueprint Recommender Agent - Frequently Asked Questions (FAQs)

How does the Solution Blueprint Recommender Agent scan my tech stack?

The agent connects to your Integration Designer environment and scans all active connectors, data sources, APIs, and system configurations. It builds a real-time fingerprint of your stack - including connector types, data flow patterns, dependencies, and usage volumes - then compares this against a library of proven solution blueprints to surface matches.

What types of solutions does it recommend?

The agent recommends pre-built automation flows including Quote-to-Cash (Q2C), Order-to-Cash (O2C), Customer 360, lead-to-cash, revenue intelligence, and other cross-system workflows. Recommendations are ranked by fit score, deployment readiness, estimated ROI, and dependency completeness based on your specific connector environment.

Can we override or customize the recommended blueprints?

Yes. Every recommended blueprint is fully customizable. The agent provides a deployment-ready starting point with connector maps and configuration steps, but your team can modify flows, add business rules, adjust data mappings, and extend blueprints using the no-code Process Designer and Integration Designer.

How does the agent explain why it recommended a specific blueprint?

Every recommendation includes a decision rationale: the fit score, matched connectors, data source alignment, identified dependency gaps, estimated deployment effort, and projected ROI. Teams can inspect this in the embedded analytics dashboard or export it for stakeholder review and approval.

What if my stack is missing connectors required by a recommended flow?

The agent flags dependency gaps in every recommendation, identifying which connectors are missing and how they affect deployment readiness. It also suggests the shortest path to closing gaps - whether by activating an available connector from the 500+ library or adjusting the blueprint to work with an alternative data source.

How does the agent handle model drift and maintain recommendation quality?

Embedded analytics continuously compare recommended blueprints to actual deployment outcomes. When recommendation accuracy deviates beyond configurable thresholds, the agent triggers recalibration cycles and alerts your team. Fit scoring models improve over time as more deployment results feed back into predictive analytics.

How does Put It Forward handle security and compliance for stack scanning?

Put It Forward is built with enterprise-grade security, including SOC 2 and ISO 27001 compliance, advanced audit trails, role-based access controls, and data encryption at rest and in transit. Stack scanning operates within your existing security perimeter and never exports raw configuration data outside the platform.

What ROI can we expect and how quickly?

Clients typically see 73% faster solution discovery and 65% faster deployment within the first 30 days. The 2-day implementation guarantee means the agent begins scanning and recommending immediately, with full recommendation accuracy typically calibrated within 14-30 days as deployment outcomes refine the model.

Solution Blueprint Recommender Agent Faster Time to Value

For IT & ops - predictive AI reads your tech stack & recommends pre-built flows to deploy instantly.