Integration Design Co-Pilot Agent Flow Acceleration

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 integration teams - designs flows from natural language & generates templates via predictive AI.

Design integrations from plain language like "Connect Salesforce and NetSuite for Q2C"
Generate production-ready flow templates with auto-mapped fields across 500+ connectors
Reduce new integration design time by 80% - from weeks of scoping to minutes of conversation
"2-day implementation" guarantee - Most clients go live in days, not months
SOC 2 + ISO 27001 compliance - Enterprise-grade security and governance built-in

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

Natural Language Integration Design & Flow Generation in Action

Three micro-scenarios showing how the Integration Design Co-Pilot Agent eliminates manual flow scoping, template rework, and connector onboarding delays.

Design a Q2C Flow From a Single Prompt

Cut Q2C integration design from 3 weeks to 45 minutes - natural language to production-ready flow template instantly.

Scenario: A revenue operations team needs to connect Salesforce and NetSuite for quote-to-cash automation. Scoping typically takes 3 weeks across IT, sales ops, and finance. Requirements live in scattered docs and meetings. Each cycle restarts when scope shifts.

Solution: A user types "Connect Salesforce and NetSuite for Q2C" into the Co-Pilot. Predictive algorithms identify required objects, generate field mappings, define sync frequency, and produce a complete flow template with business rules - all inside Integration Designer.

Results: Q2C flow design time dropped from 3 weeks to 45 minutes. Template accuracy reached 90%+ on first generation. IT scoping meetings eliminated. Revenue team deployed the integration 18 business days ahead of the legacy timeline.

Multi-System Flow Template Generation Use Case

Auto-Generate Multi-System Flow Templates

Eliminate 75% of manual template creation - predictive AI scaffolds complete flows across CRM, ERP & marketing systems.

Scenario: An enterprise manages 60+ integrations across Salesforce, SAP, Marketo, and ServiceNow. Every new flow requires architects to manually define objects, mappings, triggers, and error handling. Average template creation takes 5-8 business days per flow.

Solution: The Co-Pilot accepts natural language flow descriptions and uses predictive analytics to scaffold complete templates. It identifies source/target objects, suggests field mappings from similar flows, defines triggers and error handlers, and outputs a deployable template in Integration Designer.

Results: Template creation time dropped from 5-8 days to under 4 hours. Manual mapping effort reduced by 75%. Architects shifted from configuration work to strategic design. New integration requests cleared backlog within 2 weeks of adoption.

Optimize Existing Flows With AI-Guided Review

Reduce integration failures by 60% - predictive analytics audit live flows and recommend fixes before errors propagate.

Scenario: A mid-market company runs 35 active integration flows built over 3 years by different teams. No documentation exists. Sync failures average 14 per week, each consuming 2+ hours to diagnose. Root causes are inconsistent mappings, stale triggers, and schema drift.

Solution: The Co-Pilot scans active flows using predictive analytics to detect misconfigurations, redundant steps, deprecated field references, and schema mismatches. It generates an optimization plan with prioritized fixes, updated mappings, and refactored templates for one-click deployment.

Results: Integration failures dropped by 60% within 60 days. Weekly diagnosis time fell from 28 hours to under 6 hours. 12 flows were refactored and redeployed in the first month. Documentation was auto-generated for all active flows.

Predict, Decide & Act - How the Integration Design Co-Pilot Agent Works

Integration Design Co-Pilot Agent workflow

From natural language request to deployed integration flow in 6 steps - no code, no manual scoping, no template rework.

Step 1 - Connect: Operates inside Integration Designer with access to 500+ connectors spanning CRM, ERP, ITSM, marketing, billing, collaboration, and custom APIs. Reads available schemas, objects, and existing flow configurations in real time.
Step 2 - Analyze: Parses natural language intent to identify source and target systems, required objects, sync direction, frequency needs, and business context. Profiles schemas to detect field types, naming patterns, and mapping candidates automatically.
Step 3 - Predict: Predictive algorithms match the request against proven flow patterns from similar integrations. Suggests optimal field mappings, trigger logic, error handling, and sync frequency based on system pair and use-case classification.
Step 4 - Decide: Validates the generated flow template against source and target schemas with built-in guardrails. Routes high-confidence templates to auto-deploy or flags edge cases for architect review based on complexity thresholds.
Step 5 - Act: Deploys the validated flow template into Integration Designer. Activates connectors, field mappings, triggers, and business rules. Notifies teams via Slack/Teams and logs the full design rationale and version history.
Step 6 - Learn: Monitors deployed flow execution, error rates, and sync performance. Feeds outcomes back into predictive analytics to improve template suggestions. Detects schema drift and recommends flow updates proactively.

ROI Benefits: Integration Design Co-Pilot Agent

Quantified outcomes from replacing manual integration scoping and template creation with predictive AI-driven Integration Designer orchestration.

Design Time Reduction: Cut integration flow design from weeks to minutes within 30 days - predictive AI converts natural language requests into production-ready templates with auto-mapped fields, triggers, and business rules.
Template Accuracy Improvement: Achieve 90%+ first-pass template accuracy - predictive pattern matching leverages proven flow configurations from similar system pairs, eliminating iterative rework cycles.
Architect Productivity Recovery: Free 25+ architect-hours per week by offloading routine flow scaffolding to the Co-Pilot - predictive algorithms handle object identification, mapping, and trigger logic automatically.
Integration Failure Reduction: Reduce sync failures by 60% within 60 days - predictive analytics audit live flows for misconfigurations, schema drift, and deprecated references before errors propagate downstream.
Backlog Clearance Acceleration: Clear integration request backlog 3x faster - AI-generated templates and automated scoping eliminate the multi-week discovery cycles that block new integration delivery.

Integration Design Co-Pilot 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”

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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

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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.

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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.

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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.

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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.

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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.

Integration Design Co-Pilot Agent - Frequently Asked Questions (FAQs)

How does the Integration Design Co-Pilot Agent convert natural language into integration flows?

The agent parses your plain-language request to identify source and target systems, required objects, sync direction, and business context. Predictive algorithms then match your intent against proven flow patterns, generate field mappings, define triggers, and produce a complete template inside Integration Designer. No technical specification documents or coding are required.

Can I modify or reject the flow templates the agent generates?

Yes. The agent operates in a human-in-the-loop mode. Every generated template is fully editable within Integration Designer before deployment. You can adjust field mappings, change sync frequency, modify triggers, or reject the template entirely. All changes are version-controlled and logged for audit.

What types of integration flows can the agent design?

The agent designs flows for any system pair accessible through Put It Forward's 500+ connectors. Common patterns include quote-to-cash (Q2C), order-to-cash (O2C), lead-to-cash, customer onboarding, bi-directional CRM-ERP sync, marketing-to-sales handoff, and ITSM ticketing workflows. It supports uni-directional, bi-directional, real-time, and batch configurations.

What systems does the agent support inside Integration Designer?

The agent works across all systems connected via Integration Designer with 500+ connectors - including CRM (Salesforce, HubSpot, Dynamics), ERP (SAP, Oracle, NetSuite), ITSM (ServiceNow), marketing automation (Marketo, Pardot, Eloqua), billing, and collaboration tools (Slack, Teams). Custom APIs are also supported.

How do you ensure data security during flow design and deployment?

Put It Forward is built with enterprise-grade security, including SOC 2 and ISO 27001 compliance. The Co-Pilot agent operates within the same security perimeter as Integration Designer. All schema access and data is encrypted in transit and at rest. Role-based access, audit trails, and governance policies apply to every action.

How long does it take to start using the Co-Pilot Agent?

The Co-Pilot is embedded in Integration Designer and available immediately to all users. No separate installation or configuration is required. Teams begin designing flows from natural language on day one. Measurable design-time improvements are visible within the first week of adoption.

How does the agent improve its template suggestions over time?

Every flow template deployed, edited, or rejected feeds back into the predictive analytics engine. The agent learns from your organization's patterns - which mappings succeed, which triggers perform best, and which configurations produce errors. It monitors post-deployment flow performance and refines recommendations continuously.

What ROI can I expect from deploying this agent?

Organizations typically see an 80% reduction in integration design time, 90%+ first-pass template accuracy, and 25+ architect-hours recovered per week. Integration failures drop by 60%, and request backlogs clear 3x faster. ROI is visible within the first 30 days of adoption.

Integration Design Co-Pilot Agent Flow Acceleration

For integration teams - designs flows from natural language & generates templates via predictive AI.