STAGE 01
Drive Productivity
Reduce manual workflows and build practical AI fluency.
DIAGNOSE
A fast, evidence-based read of your firm's AI maturity: interviews, stack audit, and a prioritized use-case catalog where every item names the pain, the frequency, and the dollar consequence.
THE FRAMEWORK
Aligned with McKinsey, BCG, Gartner, and OpenAI maturity frameworks , adapted through a value-creation lens. Governance threads through every stage.
Manual processes dominate; little to no AI in use. Prerequisite to advance: name owners, inventory what's deployed, document the current process.
Early pilots and assisted drafting in isolated areas. Prerequisite: codify standards and screening rules; remediate known defects; begin forward capture.
AI integrated into core processes, with sponsorship and budget. Prerequisite: prove the controlled future state in the tools you already own.
Agents with gates; audit trails on every action. Prerequisite: cut over to licensed modules with audit trail and role-based access.
Near-autonomous, exception-only human review. Sustain the feedback loop; reinvest measured outcomes.
AI MATURITY STAGES
Syntari’s AI Maturity Stages describe four stages of value creation. Use them alongside the assessment to understand where your firm stands today and what must be in place before you advance.
STAGE 01
Reduce manual workflows and build practical AI fluency.
STAGE 02
Connect structured and unstructured data to make institutional knowledge accessible.
STAGE 03
Orchestrate workflows and measure improvements in execution speed, revenue, and cost.
STAGE 04
Scale human and machine collaboration with governance embedded throughout.
WHAT YOU GET
THE DISCIPLINE
Every workstream advances by a single level per phase. That is deliberate: each level is defensible on its own, and you can stop at any of them and keep the value already delivered. Today's placement is a starting hypothesis , validated with each workstream owner, not assumed.
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