2025 IBM North America AI for Business Award
Align people, processes, and technology to strategic goals with executive-validated results through our proprietary CLARITY methodology.
Success is defined by measurable KPI improvement and executive validation, not just deliverable completion.
Process-first discovery and ROI quantification de-risk decisions before scaling, ensuring a faster path to production.
We design changes for the end-to-end process to ensure automation doesn’t create downstream bottlenecks.
Governance, auditability, and control are designed in from day one for highly regulated environments.
Our closed-loop delivery system aligns work to strategy, governs execution, and proves results.
Align strategic goals to measurable outcomes and executive expectations.
Establish baseline visibility so results are measurable and data-driven rather than subjective.
Implement integrated automation across workflows, AI, and people to improve flow and handoffs.
Close every engagement with an executive outcome review and validation of realized value.
Map and structure processes to create a shared source of truth using our SPADE-enabled mapping tools.
Map and structure processes to create a shared source of truth using our SPADE-enabled mapping tools.
Map and structure processes to create a shared source of truth using our SPADE-enabled mapping tools.
Map and structure processes to create a shared source of truth using our SPADE-enabled mapping tools.
Map and structure processes to create a shared source of truth using our SPADE-enabled mapping tools.
Map and structure processes to create a shared source of truth using our SPADE-enabled mapping tools.
Map and structure processes to create a shared source of truth using our SPADE-enabled mapping tools.
Start with a 30-45 day Proof-of-Value (PoV) Lab to validate measurable KPI movement in your environment.
High-scale onboarding, fraud investigation, and regulatory reporting for banks and fintechs.
Claims intake, triage, and policy renewal optimization to reduce unit cost and cycle time.
Administrative efficiency and clinical trial workflow automation requiring strict compliance.
High-scale onboarding, fraud investigation, and regulatory reporting for banks and fintechs.
Scalable automation for logistics, inventory bots, and franchise store openings.
The PM&A Sprint is about building process intelligence capability: mapping key processes, establishing methodology standards, training your team, and setting up the Blueworks Live environment. Outputs include automation-ready process maps, a trained team, and an organized repository. The Opportunity Lab is about investment prioritization: producing a scored, ROI-quantified ranking of automation and AI candidates with a business case formatted for CFO and board approval. Many teams run the Sprint first and the Opportunity Lab second.
Documentation is a starting point, not a substitute for discovery. We captures the gap between the documented process and actual execution: the workarounds, exception paths, shadow processes, and off-system manual steps that are rarely recorded anywhere. In most engagements, the most valuable findings come from the undocumented work, not the documented process. We will build on what you have and fill in what is missing.
No. Process intelligence surfaces four types of improvement opportunities: workflow automation with BAW, AI applications with watsonx, RPA for repetitive manual tasks, and process redesign where the right answer is not technology but a better operating model. We recommend the right type of improvement for each opportunity, not the one that produces the largest build engagement for Salient.
Typically 4 to 6 hours per process for key stakeholders across workshops and review sessions. We structure sessions to be efficient: a focused kickoff, targeted working sessions with process owners, and a final readout that doubles as your funding presentation or training capstone. The engagement is designed to minimize disruption while capturing the depth needed for a credible ROI model.
Most clients move directly into either a Proof-of-Value Lab for AI opportunities or a QuickStart production build for workflow automation or RPA. The Opportunity Lab deliverables pre-scope the next engagement directly, so there is no handoff gap or re-discovery phase. The executive funding pack is also the scoping document for the first build, which is why CFO approval after an Opportunity Lab is typically faster than after a standalone business case exercise.
No more pilot stall, embed adaptive agents in your IBM BAW processes today.
