IBM Cloud Pak for Business Automation
IBM Business Automation Workflow orchestrates end-to-end business processes across systems, teams, and decisions. At Salient, it's the production backbone of every automation program we build. Governed, auditable, and built to survive regulated-environment review.
4 Weeks
to Findings
15+
Years Gold Partner
600+
Projects delivered
Platform Capabilities
BAW orchestrates work across systems, people, and decisions in a single governed environment. BAW is the process layer that makes automation programs coherent.
Model, deploy, and govern complex business processes across every system and team your operation depends on.
Route work to the right people at the right time. SLA controls, escalation paths, and full decision context are built in.
Every process step is logged, every decision documented, and every exception justified. By design, not retrofit.
Built by Salient Process
Three accelerators built by the same team that builds your implementation, covering AI agents, task interfaces, and workflow portals.
AI Agent Accelerator
BAW Agent Factory embeds AI agents inside IBM Business Automation Workflow using BPMN patterns your team already knows. Agents call your existing processes, service flows, and human tasks as tools. Every action stays inside your BAW governance boundary. No new platform, no new vendor, no integration debt.
Compatible with IBM BAW 2401+. LLM-agnostic: Claude, GPT, Granite, Llama.
UI Development Accelerator
Salient created SPARK UI, the interface framework IBM licensed, adopted, and built into IBM Business Automation Workflow as its standard UI toolkit. 90+ pre-built controls. Mobile-ready out of the box. 4x faster UI development than building from scratch. When IBM needed a UI layer for BAW, they built on ours.
Now 100% owned and maintained by IBM as the official BAW UI Toolkit.
Portal Accelerator
The Salient Portal Builder extends IBM Business Automation Workflow with fully customizable user portals: branded layouts, personalized task views, interactive dashboards, and integrated watsonx AI assistance. Build the interface your teams want to use, on the BAW infrastructure you already have.
BAW + watsonx.ai integration included.
Client Outcomes
A sample of documented outcomes from Salient engagements where BAW is the orchestration layer inside production workflows.
FCT · Salient Process
3 mo.
POC to production
National
Rollout across Canada
Title Insurance Lender Inquiry Automation: FCT serves 450+ lenders and 43,000 legal professionals nationwide. BAW introduced a dual-flow architecture: routine lender inquiries process automatically, complex cases escalate with full context to specialists. Staff previously handling intake now focus on work that requires judgment.
Regional Lender · Salient Process
55%
Faster to close
60%
Lower cost per loan
Mortgage Origination Coordination:BAW orchestrated document requests, underwriting routing, and compliance checks across six existing systems. Every handoff tracked, every SLA enforced. Capacity increased 30% on the same team with no system replacement and no rip-and-replace of existing infrastructure.
International Insurer · Salient Process
80%
Cycle time improvement
Same day
Payment changes resolved
Payment Method Change Processing: Payment method changes that previously took weeks to months now route through a BAW workflow with embedded business decision checks. Routine changes clear automatically. Edge cases escalate with full context. The manual review queue that defined the old process is gone.
Product Demo
Watch how Salient deploys IBM Business Automation Workflow to orchestrate a regulated enterprise process from intake to close, with governance, SLA enforcement, and human-in-the-loop steps built in.
Process Patterns by Industry
These are the highest-value BAW workflow patterns we deploy by industry. Each one solves a specific orchestration problem: multi-party handoffs, SLA enforcement, regulated approvals, and exception routing across systems.
High-value and flagged transactions route automatically to dual-control approval teams with full transaction context pre-loaded into the task. SLA timers prevent exceptions from aging. Every approval is logged with timestamp, reviewer identity, and rationale for regulatory examination.
Typical outcome: Same-day exception resolution, zero aging items at audit
BAW coordinates the full origination lifecycle: application intake, credit bureau routing, underwriting assignment, compliance checklist enforcement, approval sign-off, and document generation. Every handoff is tracked with SLAs. Bottlenecks surface in real time, not at month-end.
Typical outcome: 55% faster close, 60% lower cost per loan
Document collection, identity verification, watchlist screening, risk tier assignment, and system provisioning run as a single end-to-end workflow. Manual handoffs between compliance, operations, and IT are replaced with automatic routing. Incomplete applications return to submitters with specific deficiency notices.
Typical outcome: Account opening from 2 weeks to under 48 hours
BAW aggregates data across systems, routes it through validation and reconciliation steps, and triggers sign-off workflows before submission deadlines. Reports are timestamped, versioned, and submission-ready. The manual assembly step that introduced variance is gone.
Typical outcome: 90% reduction in manual report preparation time
AI reads First Notice of Loss submissions from any channel, extracts incident type, severity indicators, fraud signals, and coverage match, then routes the claim to the right adjuster tier or automated track before any human opens the file.
15–30% cycle-time reduction
Structured and unstructured submissions are read by AI that extracts risk-relevant data points, flags missing information, and cross-references external data sources. Underwriters receive a structured risk summary instead of raw documents.
Outcome: Submission handling time reduced by 60%, 40–60% faster submission intake.
Technologies: watsonx.ai
Models score every policy at renewal time for flight risk based on payment history, engagement signals, competitive pricing exposure, and life event indicators. High-risk policies route to proactive retention campaigns.
Outcome: 20-30% improvement in retention for at-risk policyholders when proactively engaged
Technologies: watsonx.ai
AI processes satellite imagery, inspection photos, weather history, and building permit records to generate property risk profiles for underwriting and claims validation. Human review focuses on edge cases.
Outcome: Underwriting accuracy improves. Inspection costs reduced by 30% through AI pre-screening
Technologies: watsonx.ai, watsonx.governance
AI reads clinical notes and payer coverage guidelines simultaneously, extracting clinical evidence and mapping it against payer-specific medical necessity criteria. Submissions arrive complete the first time rather than being returned for missing documentation.
Outcome: 60% reduction in auth cycle time
Technologies: watsonx.ai, watsonx Orchestrate
AI classifies denied claims by root cause: coding error, missing auth, eligibility mismatch, timely filing. For each denial category, correction logic is applied and supporting documentation is generated automatically. Resubmission rates improve because the fix targets the actual cause.
Outcome: 30% improvement in first-pass resolution on resubmission. Revenue recovery accelerates.
Technologies: watsonx.ai, watsonx Orchestrate
AI matches referred patients to in-network specialists using availability, distance, clinical specialty match, and insurance eligibility simultaneously. The model recommends the optimal match in seconds rather than requiring coordinators to work through provider directories manually.
Outcome: 50% reduction in referral cycle time
Technologies: watsonx.ai, watsonx Orchestrate
Natural language processing reads completed clinical notes after each encounter, extracts diagnosis and procedure information, maps to the correct coding and billing fields, and routes documentation to the right downstream system. Providers document in their natural workflow; AI handles the classification.
Outcome: 40% reduction in documentation time per provider
Technologies: watsonx.ai, watsonx Orchestrate
Sensors on production assets feed a predictive model that detects degradation patterns before failure. When a threshold is crossed, AI automatically creates a prioritized work order in the CMMS, pulls the relevant maintenance procedure, checks parts availability, and notifies the technician.
Outcome: Unplanned downtime reduced by up to 20%
Technologies: watsonx Orchestrate, watsonx.ai
Computer vision on the production line flags non-conforming parts. AI classifies the defect type, traces the batch to its origin, generates a non-conformance report, and initiates a supplier corrective action request with evidence attached. No manual inspection routing.
Outcome: Defect escape rate drops
Technologies: watsonx Orchestrate, watsonx.ai
AI monitors purchase orders, shipment ETAs, and inventory levels in real time. When a disruption is detected (late delivery, stock-out risk, supplier issue), an orchestrated workflow identifies alternative sourcing options, calculates impact to production, and routes a decision package to the supply chain manager.
Outcome: Response time to supply exceptions drops from days to hours
Technologies: watsonx Orchestrate, watsonx.ai
Engineering submits design specs. AI extracts key parameters, generates draft SOPs, work instructions, quality control plans, and regulatory documentation aligned to the product category. Technical writers review and finalize instead of authoring from scratch.
Outcome: NPI documentation cycle compressed by 50%. Consistency improves across product lines
Technologies: watsonx Orchestrate, watsonx.ai
AI models combine POS data, weather, local events, promotional calendars, and supplier lead times to generate store-level and SKU-level demand forecasts daily. Replenishment orders are generated from the forecast rather than from reorder points set months ago.
Outcome: 30% fewer stockouts. 15% reduction in inventory carrying costs
Technologies: watsonx.ai, watsonx Orchestrate
AI extracts structured data from orders arriving in any format (EDI, email, portal, fax), validates pricing against active contracts and promotional agreements, flags discrepancies before fulfillment, and scores each order for credit risk. On the back end, cash application models match incoming payments to open invoices automatically, even when remittance information is incomplete or inconsistent. Deductions and short payments are classified by reason code and routed with context.
Outcome: 80% of orders and payments processed without manual intervention
Technologies: watsonx.ai, watsonx Orchestrate
AI verifies purchase eligibility, classifies the return reason, and determines the most economical resolution path: full refund, exchange, store credit, or no-return refund where shipping costs exceed item value. Models trained on return history learn which resolution paths drive repurchase and loyalty versus which create friction. Fraud scoring runs in parallel to flag serial returners or policy abuse before the resolution is issued.
Outcome: Return resolution time drops from days to minutes
Technologies: watsonx.ai, Watson Assistant, watsonx Orchestrate
AI forecasts customer traffic by location and time of day, translates it into staffing requirements by role, and generates compliant schedules from employee availability data. Managers receive a schedule recommendation rather than building one from scratch against a spreadsheet.
Outcome: 60% reduction in scheduling time
Technologies: watsonx.ai, watsonx Orchestrate
AI indexes the organization's internal knowledge base: policies, SOPs, product documentation, contracts, past case notes. Employees ask questions in natural language and receive answers with cited sources, replacing manual document searches.
Outcome: Employee time searching for information reduced by 50%
Technologies: watsonx.ai, Watson Assistant
AI reads incoming documents from any channel, classifies type, extracts key fields, validates completeness, and routes to the appropriate system or workflow. Replaces manual data entry across AP, claims, HR, compliance, and operations.
Outcome: Document processing cost reduced 60-80%
Technologies: watsonx.ai, watsonx Orchestrate
AI reads lengthy case histories, email chains, meeting transcripts, and reports and generates structured summaries in seconds.
Outcome: Knowledge worker productivity increases 30-40%
Technologies: watsonx.ai
An orchestrator AI receives an intent from an employee or customer, decomposes it into tasks, selects the right downstream agents and tools, and coordinates execution to completion. Multi-system tasks that previously required multiple teams complete in a single conversational interaction.
Outcome: Task completion time drops 50-70%
Technologies: watsonx Orchestrate, watsonx.ai
In 60 minutes, Salient's BAW specialists map your highest-value workflow, identify where AI and automation belong, and scope a proof of value with defined KPIs. No commitment required.
At Salient, BAW is the orchestration layer we build every automation program on. We don't drop it into a process that hasn't been mapped. Before any workflow is modeled, we baseline the process, identify where automation changes an outcome, and define the KPI that success will be measured against.
600+
Projects
4 Weeks
to Findings
15+ Years IBM Gold Partner
Unplanned downtime reduction
We baseline your process, quantify every bottleneck, and identify where BAW belongs before modeling a single workflow. We never automate a broken process.
KPIs locked before any workflow is configured. Every engagement closes with a CLARITY Proof Pack: executive-validated, fundable, and referenceable.
We design compliance into every BAW implementation before build. Every decision logged, explainable, and defensible. Pharmaceutical, financial, and healthcare-grade from day one.
Salient created SPARK UI, the interface framework IBM adopted as standard across BAW. BAW Agent Factory and Portal Builder extend that depth to AI agents and workflow portals. Every implementation includes the team that built the accelerators behind it.
Process Patterns by Industry
BAW connects to any system via REST and SOAP APIs, IBM Integration Bus, MQ, database adapters, and pre-built connectors for SAP, Salesforce, and other enterprise platforms. Salient's integration approach maps connection points during process discovery, before build, so integrations are scoped accurately and built to your data flow requirements, not a generic template.
Yes. Salient's BAW Agent Factory lets you model AI agents as BPMN subprocesses that call your existing processes, service flows, and human services as tools. All of it runs inside your BAW governance boundary. You get adaptive AI outputs inside a deterministic, compliant process shell. No new orchestration platform required.
BAW generates a full audit trail for every workflow instance: who did what, when, what data was used, and what decision was made. Native integration with IBM ODM and ADS externalizes business rules so compliance policies are managed separately from application code and fully auditable. Salient builds governance architecture before any workflow goes into production. Not at the end of the project.
Low-code tools are designed for simple, linear workflows in non-regulated environments. BAW is designed for complex, multi-party, multi-system workflows in regulated industries. It includes built-in audit, SLA enforcement, decision management, content integration, and enterprise security. For organizations with compliance requirements, the governance gap between BAW and low-code alternatives is significant.
No. BAW integrates with your existing systems: ERP, CRM, core banking, and claims platforms. It sits as the process layer on top. Salient's process-first approach maps current system connections during discovery so the BAW implementation extends what you have, rather than replacing it.
Salient's CLARITY Pack 03 QuickStart Program delivers a production-grade BAW workflow with full governance, enterprise integrations, and operational readiness in 6 to 10 weeks. The timeline depends on process complexity, integration scope, and organizational readiness. We scope every engagement with a fixed KPI set so timelines are tied to defined outcomes, not open-ended statements of work.
In 60 to 90 minutes, our BAW specialists identify the highest-value workflow automation opportunity in your operation, map the integration points, and scope a proof of value with defined KPIs. No commitment required.
