Battery Point Research / AI Playbooks

Technology & IT

Many smaller companies do not have a real IT department.

Technology is often managed by one internal generalist, an office manager, an outsourced MSP, or some combination of the three.

AI can reduce routine support and administration while helping smaller companies get more from the systems they already use.

Why this matters to the middle market

Smaller companies often pay for technology they do not fully use and depend heavily on outside support for routine issues.

AI can lower that support burden and make basic technology management more capable without building a larger IT team.

Activity	Human today?	Could the human be removed now?	Likely next 2–4 quarters
Password / access requests	Often	Yes	Mostly self-service
Employee onboarding	Yes	Partially	More automated across accounts and permissions
Employee offboarding	Yes	Partially	More automated with approval controls
Routine help-desk questions	Yes	Yes, in many cases	AI first-line support
Basic software troubleshooting	Yes	Often	Increasingly automated
SaaS administration	Yes	Partially	More rule-based automation
User / license cleanup	Yes	Yes	Continuous monitoring
Security alert review	Yes	Partially	AI filters and prioritizes alerts
Backup monitoring	Yes	Yes	Background monitoring
Vendor / MSP tickets	Yes	Partially	AI handles more first-pass diagnosis
High-risk security decisions	Yes	Not generally	Human remains accountable

Technology activity	Traditional model	AI-enabled model	People impact
User support	Employee opens ticket and waits for IT or MSP response.	AI handles common questions and troubleshooting immediately.	Tier-1 support demand falls.
Onboarding	Someone manually creates accounts, permissions, and software access.	AI coordinates setup across common systems and flags exceptions.	Administrative setup work falls.
SaaS management	IT or office staff manages users, licenses, and access manually.	AI monitors usage, access, and exceptions continuously.	Routine administration shrinks.
Security	IT reviews large volumes of alerts and logs.	AI prioritizes suspicious activity and surfaces higher-risk issues.	Less manual alert review.
Vendor support	Internal staff gathers information and opens support tickets.	AI performs first-pass diagnosis and prepares or initiates support requests.	Fewer routine MSP / vendor interactions.
Reporting	Someone checks dashboards across multiple systems.	AI summarizes system health, security, access, and unresolved issues.	Less manual monitoring.

Routine support and administration shrink first. The remaining technology role becomes more about security, oversight, vendors, and exceptions.