How AI Works on Put It Forward
AI in Put It Forward isn't a feature you add. It's a core capability built into every layer of the platform - from the data you integrate to the agents you deploy and the control plane that governs all of it.
- Speed to value: Auto-mapping, co-pilot-assisted rule building, and AI-guided data transformation reduce configuration time from weeks to hours
- Intelligence built in: Dozens of specialized AI algorithms and agentic AI are embedded natively in process automation, analytics, and integration - not added as a plugin
- Governed from day one: Every AI action runs inside the AI control plane - cost, compliance, and outcomes tracked automatically across every agent and workflow
AI Built Into Every Layer - Not Bolted On
Put It Forward doesn't add AI to a traditional platform. AI runs natively inside integration, process automation, analytics, and agentic AI - connected by one control plane.
AI in Data Integration
AI-powered automapping and co-pilot-assisted transformation eliminate manual field mapping. Business rules are suggested automatically. Data quality issues are flagged before they reach downstream processes.
AI in Process Automation
Machine learning monitors process performance in real time, surfacing bottlenecks and optimization opportunities automatically - inside the workflow, not in a separate monitoring tool.
AI in Analytics & Predictions
Dozens of specialized AI algorithms built natively into the Put It Forward analytics layer score churn risk, pipeline gaps, operational variance, and cash flow disruptions - and feed directly into workflows to trigger action.
AI in Agentic Deployment
Put It Forward builds and deploys AI agents natively. Each agent runs inside the AI control plane with cost tracking, process logic, fallback rules, and human escalation designed in from the start.
Three Patterns for Every Enterprise AI Use Case
Not every process needs an autonomous agent. Not every agent should run without guardrails. Put It Forward supports all three agentic orchestration patterns - so your architecture matches the work.
Most enterprise work runs best as deterministic, governed processes. A smaller but critical slice benefits from agentic reasoning at specific decision points.
Pattern 1 - Autonomous Agents
When to use: Open-ended interactions, exploratory tasks, and use cases where the right outcome isn't fully pre-defined - customer conversations, dynamic research, first-pass analysis.
How it works in Put It Forward:
An autonomous agent is given a goal, a set of tools, and access to data. It reasons, plans, and acts independently - monitoring signals, calling APIs, retrieving context, and deciding its own next steps without a fixed script.
Every autonomous agent in Put It Forward runs inside the AI control plane - every action logged, every cost tracked, and every escalation path defined before it goes live.
- Goal-directed: The agent decides its own path to the outcome, adapting to new information rather than following a fixed flow
- Data and tool-aware: Access to Put It Forward's integrated data layer and external tools so agents act on live, accurate information
- Governed from deployment: Cost per action, compliance rules, and human escalation thresholds set at deployment - not managed retroactively
Best for: Customer engagement, sales prospecting, dynamic research, exploratory analysis
Pattern 2 - Agent-Assisted Workflows
When to use: Goal-driven, multi-step processes where AI reasoning adds value at specific decision points, but the overall workflow needs structure, sequencing, and defined handoffs.
How it works in Put It Forward:
A defined process flow sequences multiple agents, automated steps, and human tasks in a structured pipeline. Each agent handles a specialized role - one classifies, one enriches, one decides - and hands off to the next step based on outcomes.
The process logic, sequencing, and handoff rules are designed in Put It Forward. The AI control plane ensures each agent operates within defined parameters and cost limits.
- Structured and goal-driven: Clear start, sequence, and end - AI agents act at defined decision points, not throughout
- Multi-agent coordination: Specialized agents pass enriched outputs to each other before the next step acts
- Human-in-the-loop built in: Human review is a designed step in the flow - not a failure state
Best for: Loan processing, contract review, customer onboarding, multi-step compliance workflows, revenue qualification
Pattern 3 - Deterministic Processes
When to use: Regulated, auditable, high-volume processes where every step must execute identically every time - finance, compliance, HR operations, mission-critical workflows.
How it works in Put It Forward:
A fully defined process graph where every node - API calls, RPA steps, business rules, human tasks, and AI classification - is pre-defined and sequenced by the orchestration engine. No node decides its own path; the orchestration engine controls flow, branching, error handling, and state.
AI is used as a peer node within the process - classifying, enriching, or checking - but the orchestration engine always controls the sequence. This gives you the speed of automation with the auditability of a certified process.
- Executes identically every time: Every step pre-defined, auditable, version-controlled, and SLA-monitored
- AI as peer node, not orchestrator: Agents classify and enrich within the process; the control plane controls the sequence
- Compliance-grade by design: Audit trails, cost-per-node tracking, and version control enforced automatically
Best for: Invoice processing, regulatory reporting, HR workflows, financial controls, regulated industry processes
| If the process is ... | Use this pattern |
|---|---|
|
Open-ended, exploratory, conversational
|
Autonomous Agents
|
|
Goal-driven, multi-step, some AI reasoning needed
|
Agent-Assisted Workflow
|
|
Regulated, auditable, must execute identically
|
Deterministic Process
|
|
High complexity, mix of the above
|
Hybrid - all three on one control plane
|
Key principle:
80% of enterprise work runs deterministically. 20% benefits from agentic reasoning where it actually adds value. Put It Forward supports all three patterns on one control plane - so you don't need a separate platform for each approach.
AI That Creates Impact Across Every Team
Put It Forward applies AI where it matters most - inside the specific process steps where each team works, not as a generic capability added to the top.
- Scale Everything - Leadership
- Transparency and Control - IT & Architecture
- Outcomes Improvement - Operations and User

Scale Everything - Leadership
Put It Forward is purpose-built enterprise automation with AI as a core capability - not an add-on. Every AI feature connects to the workflows, data, and systems you already have. No second platform required.
- - AI without the disruption: Deploy AI capabilities gradually across your existing stack - no rip-and-replace, no big-bang transformation
- - Scale team output without headcount: AI agents and automation amplify what your teams deliver - the same people produce more output with higher accuracy
- - Adoption at your pace: Put It Forward scales from a single use case to an enterprise-wide AI portfolio - governed by one control plane throughout
Transparency and Control - IT & Architecture
Put It Forward gives IT and architecture teams full visibility and control over every AI capability in the platform. The AI control plane enforces your governance choices automatically - so you don't need a manual audit layer on top.
- - One control plane for the full AI portfolio: Agents, RPA, ML algorithms, and process automation all governed from one layer - no separate AI governance tool required
- - Choose the right pattern for each process: Autonomous, agent-assisted, or deterministic - your architecture reflects the work, not a vendor's default
- - Cost and compliance visible in real time: Spend per agent, per workflow, per team tracked automatically inside Put It Forward - not assembled manually

Outcomes Improvement - Operations and User
AI in Put It Forward optimizes the processes your teams run every day - surfacing what's about to go wrong, triggering the right action, and learning from every outcome.
- - Predict before it costs you: AI agents and predictive models surface churn risk, pipeline gaps, and operational variance before they become problems
- - Automate the routine: Routine decisions run automatically inside Put It Forward workflows - your team focuses on exceptions, not process management
- - Measure the impact: Every AI deployment tracked against the business outcomes it was built to drive - ROI visible in the platform, not estimated after the fact
How AI Works In Put It Forward for Business and Architecture
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FAQ about AI and Put It Forward
Put It Forward embeds AI natively across data integration, process automation, analytics, and agentic AI - all governed by one AI control plane. Organizations use Put It Forward to automate complex workflows, deploy AI agents that act on live data, predict business risks before they surface, and track AI ROI in the platform rather than building the case manually.
Put It Forward provides dozens of specialized AI algorithms built natively into the analytics and predictive intelligence layer. These include algorithms for churn prediction, pipeline scoring, cash flow variance, demand forecasting, and process anomaly detection. All algorithms are embedded directly in workflows - not in a separate BI or analytics tool your team has to open separately.
Put It Forward's predictive AI is trained on the integrated data you connect to the platform. It learns patterns from historical operational data and surfaces leading indicators - scoring risk, identifying opportunity signals, and triggering automated actions before the business feels the impact. Predictions connect directly to process flows and agents, so insight triggers action automatically.
Put It Forward supports three patterns:
(1) Autonomous Agents - goal-directed agents that reason and act independently for open-ended tasks;
(2) Agent-Assisted Workflows - sequenced multi-agent pipelines for goal-driven, multi-step processes with human-in-the-loop; and
(3) Deterministic Processes - fully pre-defined process graphs for regulated, auditable, high-volume work. All three patterns run on Put It Forward's single AI control plane.
Every agent deployed in Put It Forward runs inside the AI control plane from the moment it goes live. Cost per action, compliance rules, data governance, audit trails, and human escalation paths are defined at deployment and enforced automatically - not managed manually. This is what closes the lab-to-production gap that stalls most enterprise AI programs.
Yes. Put It Forward's AI capabilities connect to your existing CRM, ERP, HCM, ITSM, and 600+ enterprise systems through pre-built connectors in the Integration Designer. AI works in concert with your existing systems - it doesn't require replacement. The AI control plane governs every integrated connection the same way it governs agents and workflows.
Put It Forward provides onboarding, user guides, video tutorials, and dedicated customer support for all AI capabilities. The platform's no-code and low-code design surface, co-pilot-assisted rule building, and pre-built AI algorithms are built to reduce the time from deployment to live results - most enterprise clients are live in days, not months.