DECOMPOSE
Map your enterprise into a knowledge graph of entities, relationships, decisions, and workflows.
The imperative
Material value is not created with productivity tools. It is engineered into the operating model.
Most enterprises are deploying AI point solutions focused on improving worker productivity with marginal value creation. Assistants, copilots, and coding tools make individual tasks faster, but they don’t change the operating model.
Compounding the problem, leadership and internal departments are typically at varying AI maturity levels, often pursuing disjointed, siloed deployment strategies. Value capture accelerates only when AI strategy and execution are unified.
AI transformation requires more than adopting new technology. Cicero brings strategy, technology, operations, and organizational expertise together to help clients move from fragmented AI initiatives toward a unified approach built around business outcomes.
How we create value
Assess
& Prioritize
Understand your AI maturity, identify high-value opportunities, and build a roadmap aligned with business objectives.
Architect
& Build
Design the operating architecture and develop custom AI tools, agents, workflows, and integrations around priority opportunities.
Implement
& Scale
Deploy solutions, establish governance, measure performance, and prepare teams to adopt new ways of working.
Our approach to AI transformation
The Reconstruction Method
Decompose → Reconstruct → Reintegrate → Accelerate
Cicero’s Reconstruction Method maps how your organization creates value, then redesigns processes and systems around intelligence to create a scalable AI-enabled operating model. We map your organization’s value chain and architect an intelligence-native system that will transform operations.
01
02
RECONSTRUCT
Rebuild processes using intelligence-driven flows, decision engines, autonomous agents, and adaptive orchestration.
03
REINTEGRATE
Connect the new operating model to existing systems through resilient interfaces.
04
ACCELERATE
Continuously optimize with real-time telemetry and evolving ontologies.
The Human Intelligence Transition Approach
Cicero’s Human Intelligence Transition approach helps organizations manage how AI changes roles, responsibilities, and ways of working, extending traditional change management to support successful adoption.
How HIT works — seven interconnected practices
01
Identity Mapping
Map where automation hits closest to how people define themselves.
02
Role Evolution Design
Define the new, higher-value version of every role AI changes.
03
Transition Pacing
Match change speed to human capacity—not AI deployment speed.
04
Contract Renegotiation
Make the new employer-employee deal explicit and real.
05
Psychological Safety
Build safe spaces to surface fear, uncertainty, and struggle.
06
Identity Grief Recognition
Acknowledge the loss of a professional self built over years.
07
Ongoing Support
Embed continuous check-ins—the transition has no finish line.
The Roadmap
A readiness assessment is a structured one-to-three-week sprint designed to establish a clear baseline of AI maturity, identify high-impact value creation opportunities, and assess execution feasibility. You receive
- 01 A custom AI maturity score
- 02 AI use cases aligned to your value drivers
- 03 A data, technology, and talent gap analysis
- 04 An executive-level roadmap that translates discovery insights into a prioritized AI investment plan
From there we run targeted pilots to validate feasibility and demonstrate ROI, design and build production-ready agents tied to business metrics, and execute the roadmap with the change management, training, and measurement that scaled adoption requires.
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