Sold by: LLJ Consulting
Organizations deploying AI on broken workflows don't accelerate outcomes - they automate failure. In one intensive engagement, LLJ Consulting maps your real workflows, benchmarks operations, surfaces frontline insights, and identifies exactly where AWS AI services will win.
Overview
The gap no one is funding - until now. AI is being deployed at scale across Amazon Bedrock, Amazon Q Business, and multi-agent architectures. Boards are asking for ROI. And yet -- per AWS's own 2026 market study -- 80% of customers aren't seeing full return on their cloud investments. The bottleneck isn't the technology. It's the workflows underneath it.
What process mining software cannot do is surface the human-process delta: the gap between the documented workflow and the real one, known only by the frontline employees who live in it daily. Celonis reads your logs. ServiceNow maps your tickets. Neither will tell you the three-step SOP was replaced by a Slack message because the system stopped working months ago. That intelligence is the foundation of any credible AI deployment.
The AI Workflow Readiness Workshop LLJ Consulting's structured engagement -- anchored by the proprietary Process Triage M4 methodology -- connects leaders with frontline employees to produce what no dashboard can:
1. Pre-Planning Sprint Scope the target workflow, define measurable success criteria, and establish the performance baseline post-AI deployment will be measured against.
2. One-Day Facilitated Intensive Certified facilitators lead cross-functional teams through real-world workflow mapping using the ADTE cycle (Analyze, Design, Train, Enforce). Frontline employees -- not executives -- surface the real pain points, ranked by business impact.
3. Analytics and Documentation Full digital and physical process map (15-20 ft printed), prioritized pain point register, and customized 90-Day Action Planning Tool.
4. AWS AI Integration Blueprint Every pain point mapped to specific AWS services: Bedrock Agents, Amazon Q Business, Amazon Connect, and SageMaker -- structured for direct input into your AWS deployment roadmap.
5. AWS AI Service Configuration Sprint (Enterprise and Full Arc tiers; add-on for Single-Workflow) A live half-day activation session on the customer's AWS account, configuring the first Q Business data source, Bedrock Agent action group, or Connect flow. Deployed on AWS: Yes.
6. 90-Day Activation and Pulse Reporting Stakeholder activation session plus 30/60/90-day pulse reports measuring business impact against the pre-engagement baseline.
Purpose-built for AWS EBA and BVR motions This engagement produces the evidence layer AWS's Business Value Realization framework requires: documented baseline, prioritized use case register, and live AWS deployment.
Proven methodology 400+ customers, 400,000+ workflow solutions. Built for enterprise workloads involving multiple steps, multiple teams, and real operational complexity.
Engagements start at $22,500 (single-workflow) and $38,500 (enterprise multi-workflow). Full Engagement Arc with 90-day pulse reporting starts at $55,000. All tiers available via AWS Marketplace private offer -- contact matt.jordan@llj.consulting .
Highlights
- Benchmark Before You Build Establish a documented operational baseline before any AI deployment - so when Bedrock Agents, Amazon Q Business, or AI-powered automation delivers results, you can prove the delta. This is the evidence layer required by outcome-based commercial models and AWS BVR-aligned engagements.
- The Human-Process Delta: What Software Tools Miss Process mining tools read logs and tickets. They cannot surface why the documented SOP hasn't matched reality in 18 months. LLJ Consulting's frontline-engaged facilitation model captures the real workflow directly from the employees who own it and packages it into a prioritized, actionable AI readiness register.
- A Structured Input to Your AWS AI Deployment Roadmap Every workshop output is mapped to specific AWS AI services: Bedrock Agents, Amazon Q Business, Amazon Connect, and SageMaker. Customers leave with a scoped, sequenced blueprint that your AWS account team can immediately translate into a deployment roadmap and business case.
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This engagement is designed to serve as the discovery and alignment sprint for AWS Experience-Based Acceleration (EBA) programs and as a verified input to Amazon Bedrock, Amazon Q Business, Amazon Connect, and Amazon SageMaker deployment workstreams.
For pre-workshop scoping, stakeholder alignment, or enterprise multi-workflow engagements, contact Matt Jordan at matt.jordan@llj.consulting or visit llj.consulting. Private offer requests processed within 48 hours.