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Thank you for your interest in: From Support 1.0 to Autonomous Resolution
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Overview
Challenges
Summary
Key takeaways
AI amplifies the operation beneath it.
The Support Services 2.0 Maturity Map defines four stages, and maturity is assessed along seven dimensions. Organizations that skip the basics give AI broken inputs to scale.
Ordinary habits that cost little outperform expensive tooling.
TSIA tested the Maturity Map's practices against its benchmark data. Quality monitoring, measurement discipline, and knowledge program discipline are associated with stronger outcomes. Formal SLA penalties, outsourcing frontline support to cut cost, and four or more escalation tiers are not. The same research finds that a profit-center posture is the strongest practice of all, provided operations are solid.
Autonomy changes the work, and the roles that do it.
As AI takes on routine resolution, human effort shifts from handling volume to overseeing, curating, and tuning the AI. The framework defines four new roles. Most organizations have yet to formalize a single AI-specific job code.
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TSIA benchmark helps set a clear picture for me and my leadership on where our team is and has helped me build multi-award winning support teams at two separate organizations.
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