Orchestrate Document Collection & KYC Vendor Checks
Scenario: A mid-market commercial bank onboards 200 business clients per quarter. Each onboarding requires 15+ documents, checks across three KYC vendors (identity, sanctions, beneficial ownership), and manual updates to the core banking system. Average onboarding takes 49 days with 7.7% of applicants abandoning before completion.
Solution: The KYC / Onboarding Orchestration Agent connects the client portal, CRM, KYC vendor APIs, document management, and core banking system via Integration Designer. Classification predictive algorithms triage incoming applications by risk tier. Low-risk applicants auto-route through parallel vendor checks and document validation. High-risk cases escalate with pre-populated context for analyst review.
Results: Onboarding cycle time drops from 49 days to 14 days. Abandonment rate falls from 7.7% to 2.3% within 90 days. The bank recovers an estimated $1.1M in annual revenue from clients who previously dropped out before account activation.
Score Applicant Risk & Reduce False Positives
Scenario: A payments company screens 5,000 applicants monthly against sanctions lists, PEP databases, and adverse media feeds. The existing rules-based engine generates a 62% false-positive rate, burying compliance analysts in manual reviews. Genuine risk signals get delayed while analysts clear low-risk alerts that consume 30+ hours per week.
Solution: The agent aggregates identity data, screening results, behavioral signals, and historical resolution patterns into a unified risk profile. Regression predictive analytics score each applicant against multi-dimensional risk factors. Analysts receive prioritized queues with confidence-scored alerts and chain-of-thought rationale for each flag.
Results: False-positive rate drops from 62% to 37% within 60 days. Analyst review time per alert falls from 22 minutes to 8 minutes. Genuine suspicious activity referrals increase 18% as analyst capacity shifts from noise clearance to real threat investigation.
Enforce Risk Rules & Automate Approval Workflows
Scenario: A wealth management firm processes 120 high-net-worth client applications monthly. Each requires multi-tier approval across compliance, legal, and relationship management. Manual routing, email-based approvals, and inconsistent documentation create 18-day average approval cycles and expose the firm to $50K+ per-incident regulatory risk from incomplete audit trails.
Solution: The KYC / Onboarding Orchestration Agent enforces configurable risk rules at every decision point. Time-series predictive algorithms monitor approval SLAs. Auto-approvals trigger for low-risk tiers with full documentation. Medium and high-risk applications route through multi-tier review with pre-assembled evidence packs and deadline escalation via Slack or Teams.
Results: Approval cycle time drops from 18 days to 7 days. Audit trail completeness rises from 71% to 99.5%. The firm eliminates $600K in annual regulatory exposure from documentation gaps while relationship managers activate clients 60% faster.
From application intake to compliant activation in 6 steps - no code, no manual routing, no email-based approvals.
- Step 1 - Connect: Link client portals, CRM, KYC vendor APIs, document management, core banking, and collaboration tools through Integration Designer with 500+ connectors. The agent accesses every applicant touchpoint.
- Step 2 - Analyze: Automated profiling catalogs applicant identity documents, corporate structures, beneficial ownership, screening results, and historical interaction patterns. Data quality issues are flagged before they enter review.
- Step 3 - Predict: Classification algorithms score applicant risk tier at intake. Regression models calculate false-positive probability per screening alert. Time-series analytics monitor SLA adherence across every approval stage.
- Step 4 - Decide: Configurable risk rules convert predictions into actions. Low-risk applicants auto-approve. High-risk cases escalate with evidence packs. SLA breaches trigger deadline alerts. All thresholds set by the compliance team with no code.
- Step 5 - Act: The agent routes documents to KYC vendors in parallel, updates core banking records, triggers approval workflows, sends SLA alerts via Slack or Teams, and logs every decision with chain-of-thought audit trail.
- Step 6 - Learn: Outcomes feed back into predictive analytics continuously. Risk models recalibrate with resolution data. False-positive thresholds improve with analyst feedback. Drift monitoring triggers retraining automatically.
The Only Option Built for Safe, Explainable, Multi‑System Decisions
| Capability | Put It Forward Agent | Traditional Rules / Workflow Automation | Generic LLM Chatbot | Manual Human Process |
|---|---|---|---|---|
|
Agent execution & scale |
|
|
|
|
|
No‑Code Agent Configuration |
|
Limited, technical admin |
Limited, prompt‑based only |
No |
|
Multi‑System Context Awareness |
|
|
No, single‑channel context |
Yes, but inconsistent |
|
Data Preparation & Validation |
|
|
No state or very limited |
Yes, in people’s heads/spreadsheets |
|
Stateful, Long‑Running Workflows |
|
Limited, brittle state handling |
No state or very limited |
|
|
Enterprise Integration Footprint |
|
Build per system |
Channel‑only |
System by system |
|
Decision Intelligence & Autonomy |
|
|
|
|
|
Business Rules + AI Policies |
|
Rules only |
Ad hoc LLM behavior |
Tribal knowledge |
|
End‑to‑End Decision + Action |
|
|
Suggests, doesn’t execute across systems |
|
|
Continuous Process Intelligence |
|
No |
No |
Manual analysis |
|
Autonomy Modes |
|
Auto‑Act only, no simulation or learning |
Suggest only, no structured guardrails |
Manual judgment only |
|
Trust, Control & Ops for Agents |
|
|
|
|
|
Policy & Guardrail Management |
|
Scattered in config and code |
Prompt only, no enforcement |
Policy documents, inconsistent enforcement |
|
Safe Failure Handling |
|
Limited, build your own |
Opaque failures |
Manual investigation & fixes |
|
Agent Performance & Impact Analytics |
|
Basic logs, no business KPI tie‑in |
No structured reporting |
Manual reporting |
|
Explainability & Audit Trail |
|
Limited technical logs |
Nearly none |
Email, tickets, inconsistent records |
|
Agent Extensibility & Integration APIs |
|
Varies, often product‑specific |
Mostly channel APIs, not orchestration |
N/A |
|
Agent Design & Tuning Support |
|
Self‑serve / ad‑hoc |
Self‑serve / ad‑hoc |
Self‑serve / ad‑hoc |
|
Agent & Integration Roadmap Alignment |
|
No / lagging |
No / lagging |
No / lagging |
Yes, configure via UI + templates
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.
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.