Build foundations that scale, enable adoption, and run AI reliably and cost-effectively.
Our data and platforms will not support AI at enterprise scale.
How AIM helps
Data & AI Readiness
Architecture & Governance
Platform Enablement
Reusable Integration Patterns
Enterprise Foundation Planning
Proof in actionMajor U.S. AirlineGovernance, catalog & analytics foundation enabling AI. +1 more
Outcomes & details ›
We have AI activity, but adoption and operating ownership are unclear.
How AIM helps
Operating Model Design
Roles & Decision Rights
Workforce Enablement
Adoption & Value Management
Adoption & Organizational Change
Proof in actionCapability DeliveredThrough AI learning & enablement approach. Completed client case studies in progress.
Outcomes & details ›
AI is working, but we need to manage cost, reliability, and scale.
How AIM helps
AI TCO & Economics
FinOps
MLOps, AIOps & Observability
Continuous Optimization
Value Realization & Continuous Improvement
Proof in actionGlobal Logistics27% cloud cost reduction. +1 more
Outcomes & details ›
Foundation
Govern & Secure
Govern AI responsibly and demonstrate it is controlled, with accountability and oversight built in.
We need to use AI responsibly and demonstrate that it is controlled.
How AIM helps
Responsible AI & Governance
Agent Governance Architecture
Controls Mapping
Risk & Compliance (NIST AI RMF, EU AI Act)
Operating Model & Roles
Proof in actionGlobal Consumer BrandNIST & EU AI Act controls crosswalk & gap analysis. +1 more
Outcomes & details ›
Featured case study · Automate & Improve
AI Document Processing Automates 24,000 Supplier Tickets a Month
How a multi-model AI pipeline replaced manual NetSuite data entry for a ready-mix concrete and building materials producer, with no added headcount.
24,058Tickets processed in first 30 days
80%+Straight through, no human touch
$0.0585Operating cost per ticket
~3,600FTE hours saved annually
0Added headcount as volume scales
Two full-time staff once keyed 1,500 unstructured PDF tickets a day into NetSuite by hand, across 30+ ticket formats. AIM tested 8+ vision models against 300+ real tickets, then built a multi-LLM consensus pipeline with client-maintained cross-reference tables, landing within 2.5% of budget and extending to a sister company with no significant redesign.
AI Readiness & Maturity AssessmentWe benchmark your data, skills, and technology against your goals and lay out how to close the gaps.
Use-Case Discovery & PrioritizationWe surface candidate use cases, rank them by value and feasibility, and build the business case.
AI Strategy & RoadmapWe turn priorities into a sequenced plan with owners and milestones.
Executive Alignment & Transformation PlanningWe align business and technology leaders around priorities, governance, and the organizational changes needed to realize AI value.
Target Outcomes
Shared AI direction with executive alignment
Prioritized investment portfolio ranked by ROI
90-day action plan with owners
Gaps closed or resourced, not just identified
Success measures baselined for tracking
Executive sponsorship established for AI initiatives
Roadmap incorporates people, process, technology, and governance priorities
Proof In Action
Commercial Real Estate FirmAI discovery & qualification of high-value opportunities.
Major U.S. AirlineGovernance assessment, catalog deployment & analytics transformation.
AIM Helps
Signal-to-Value EngagementWe detect a meaningful signal in your data, automate the response or recommend the next action, and monitor the data to confirm it moved. Each cycle sharpens what we recommend next.
Target Outcomes
Signals tied to measurable business KPIs
Recommendations delivered into live workflows
Actions correlated to outcome changes
Continuous improvement in recommendation accuracy
Documented business value per cycle
Proof In Action
Offering CapabilityArchitecture & methodology defined. Completed client engagements in progress.
AIM Helps
Value-Stream WorkshopWe map the process end to end with your team and target the friction, delay, and manual effort to remove.
Process Qualification & Solution FitWe test each step for the right method: AI, hybrid, traditional automation, or leave it alone.
Automation RoadmapWe sequence the qualified opportunities into an executable backlog.
Business Process TransformationWe simplify and redesign business processes before automation to maximize efficiency and adoption.
Workforce Experience DesignWe define how people and AI work together so employees can focus on higher-value work.
Target Outcomes
Full process map with time, cost, and error rates per step
Automation candidates ranked by ROI and feasibility
Right method matched to each step: AI, hybrid, traditional, or manual
Sequenced backlog ready to execute
Projected savings and throughput gains per opportunity
Solution DesignWe choose the approach, data, and models, and define the success metrics the POC has to hit.
Rapid Prototype / POCWe build a working prototype on your real data in weeks to prove the hard parts are feasible.
Testing & EvaluationWe build the evaluation harness for accuracy, latency, cost, and safety, and set baselines that become your DORA metrics in production.
Pilot-Readiness DecisionWe size what production requires in architecture, controls, cost, and effort, and deliver an evidence-based go, reshape, or stop with the path forward.
Transformation ReadinessWe prepare leaders, teams, and operating practices to successfully move from prototype to production.
Target Outcomes
Feasibility proven or disproven with data
Accuracy, latency, and cost benchmarked against targets
Human-in-the-loop workflow tested with real users
Production cost and architecture sized
Go, reshape, or stop decision with a funded path forward
Organization prepared to scale beyond the prototype
Proof In Action
Global Retail Food & Beverage BrandCompleted & demonstrated POC with real order testing.
AIM Helps
Enterprise AI ArchitectureWe design architecture that enables business capabilities: secure access patterns, cost-efficient inference, clear integration boundaries, and operational guardrails that scale.
Enterprise Agent Architecture & Governance
Agent operating model
Identity & access strategy
AI gateway strategy
Agent registry design
Multi-platform governance architecture
AI Application EngineeringWe build the copilots, chatbots, RAG systems, and custom apps.
AI-Partnered Software DevelopmentWe use AI for code generation, test coverage, and review to reduce rework and increase delivery speed.
Data & System IntegrationWe wire the solution into your data sources and workflows.
MLOps & DeploymentWe deploy to production and stand up the monitoring, rollback, and support to keep it running.
Business IntegrationWe integrate AI into business processes, operating models, and daily workflows so it becomes part of how work gets done.
Target Outcomes
Production AI solution live and serving users
Architecture that scales without linear cost growth
Reduced rework and faster release cycles
Data and workflows connected end to end
Monitoring, alerting, and rollback operational from launch
AI integrated into business operations and workflows
Production rollout supported by clear ownership and operational support
Proof In Action
Global Technology Research OrganizationDelivered to 1,000+ researchers across 6 labs.
U.S. Defense ContractorEnterprise RAG chatbot in Azure GovCloud with 135K+ monthly interactions.
AIM Helps
Predictive & Prescriptive AIWe build models that forecast outcomes and recommend the next action.
Workflow IntegrationWe embed model output where the work actually happens.
MLOpsWe keep the models monitored, retrained, and reliable.
Target Outcomes
Forecast accuracy improved and tracked over time
Decision cycle time reduced
Measurable lift in the KPIs the model targets
Lower operating cost per decision
Models retrained on outcomes, not just initial data
Proof In Action
Energy Infrastructure CompanyOperational recommendations.
Global AgribusinessYield forecasting.
Luxury RetailerRecommendations.
Electronics RetailerReturns optimization.
AIM Helps
Process AssessmentWe pinpoint which steps to automate and which to leave to people.
Hybrid Automation DesignWe combine AI with rules and traditional automation for reliability.
Extraction & ValidationWe turn unstructured documents into validated, structured data so downstream systems act without manual review.
System IntegrationWe connect the automation across your systems.
Human Exception HandlingWe route edge cases to the right person.
Target Outcomes
Manual effort reduced by a measured percentage
Throughput increased without adding headcount
Error rates lowered through consistent automation
Scalable operations that hold under volume spikes
Edge cases routed to the right person, not dropped
Data & AI ReadinessWe assess your data and platforms and improve them to support production AI.
Architecture & GovernanceWe design the governed foundation and data controls.
Platform EnablementWe stand up platform capabilities teams can reuse.
Reusable Integration PatternsWe build patterns that shorten the next use case.
Enterprise Foundation PlanningWe align business priorities, governance, data, and technology investments to support sustainable AI growth.
Target Outcomes
Data accessible, cataloged, and quality-scored
Lineage tracked from source to model
AI foundation governed and reusable across teams
Fewer platforms, lower integration cost
New use cases reach production faster
Technology and business priorities aligned
Enterprise foundation supports future AI initiatives
Proof In Action
Major U.S. AirlineGovernance, catalog & analytics foundation enabling AI.
Global Technology Research OrganizationPlatform architecture & integration at scale.
AIM Helps
Operating Model DesignWe define how AI is owned and run day to day.
Roles & Decision RightsWe assign who decides what.
Workforce EnablementWe train and upskill the people using AI.
Adoption & Value ManagementWe drive adoption and measure it against value.
Adoption & Organizational ChangeWe help leaders and employees adopt new ways of working through communications, learning, and enablement.
Target Outcomes
Decision rights assigned and operating
Roles redefined for AI-augmented work
Workforce trained and using AI tools
Adoption tracked against usage and value targets
Business owns the outcomes, not just IT
Leaders equipped to support AI adoption
New ways of working embedded into daily operations
Proof In Action
Capability DeliveredThrough AI learning & enablement approach. Completed client case studies in progress.
AIM Helps
AI TCO & EconomicsWe expose the true cost to serve and target where to bring it down.
FinOpsWe optimize spend across models and infrastructure.
MLOps, AIOps & ObservabilityWe keep production reliable and quick to recover, and catch drift before it spreads.
Continuous OptimizationWe tune cost, quality, and scale as it runs.
Value Realization & Continuous ImprovementWe continuously measure outcomes, improve operations, and optimize AI investments to maximize business value.
Target Outcomes
Cost per inference and cost per transaction tracked
Model and infrastructure spend optimized
Production uptime and recovery time measured against SLAs
Quality and accuracy monitored with drift alerts
Scaling tied to business value, not just volume
Business value and ROI continuously measured
Culture of continuous improvement established
Proof In Action
Global Logistics27% cloud cost reduction.
Major U.S. Airline10–15% warehousing cost reduction.
AIM Helps
Responsible AI & GovernanceWe define accountability, controls, and oversight for AI.
Agent Governance Architecture
Agent inventory and registry
Runtime controls
Monitoring and detection
AI control plane design
Governance implementation roadmap
Controls MappingWe map your AI systems to control frameworks.
Risk & Compliance (NIST AI RMF, EU AI Act)We run the crosswalk and close the gaps.
Operating Model & RolesWe operationalize governance into real roles and decisions.
Target Outcomes
AI systems mapped to controls with compliance scores
Ownership and accountability assigned, not just documented
Risk-based controls operational, not theoretical
Regulatory alignment verified against NIST AI RMF, EU AI Act
Human oversight built into escalation workflows
Proof In Action
Global Consumer BrandNIST & EU AI Act controls crosswalk & gap analysis.
Global Technology Provider, Trust & ComplianceCompliance automation & AI Copilot improved GDPR compliance from 69% to 96%.