Give one important job to your first AI employee in 90 days.
AIG leads the workflow strategy, role design, implementation, adoption, governance, and measurement. our approved implementation partner powers the approved technical deployment. Your people remain accountable for judgment, relationships, and consequential decisions.
What is an AI employee?
A role-based system with an approved job, knowledge, tools, permissions, a human owner, escalation rules, and measurable outcomes. It is not a person, does not imply legal employment, and is never granted unrestricted autonomy for high-impact decisions.
Role examples by workflow
Intake Coordinator
Collects requests, identifies missing information, prepares records, drafts follow-ups, and routes exceptions to the right person.
Project Coordinator
Turns meetings and emails into tasks, updates project records, prepares status reports, and flags deadlines or blockers.
Reporting Analyst
Collects approved data, checks for missing information, prepares recurring reports, and drafts decision-ready summaries.
Client Follow-Up Specialist
Prepares personalized follow-up, updates the CRM, tracks next steps, and alerts the team when human attention is needed.
Knowledge Assistant
Answers internal questions from approved policies, procedures, and project records while citing the source and escalating uncertainty.
Document Preparation Specialist
Drafts, assembles, and formats recurring documents from approved templates and source data for human review.
Operations Administrator
Handles scheduling, reminders, status updates, and routine coordination across the tools your team already uses.
Why we start with one role
We do not add another department or unrelated role until the first operational lane is working, used, and measured. This is more believable, easier to price, and far less vulnerable to scope creep — and it earns the trust required to expand.
Human approval & governance
- Named human owner and review checkpoints
- Read-only permissions where practical
- Escalation rules for exceptions and risk
- Logging, backups, and access controls
From one defined job to a governed workforce
Investment is scoped per engagement. Advanced work, hardware, software, hosting, and model/API use are scoped separately.
90-Day First AI Employee Launch
Scoped per engagement
One cloud-based AI employee with one defined operational job and the SOW-defined initial skill set.
90-Day Connected AI Employee
Scoped per engagement
One intermediate, multi-tool workflow requiring integration, structured data, more change support, or executive reporting.
90-Day Advanced / On-Device AI Employee
Scoped per engagement
Advanced custom work, on-device deployment, dedicated hardware, sensitive data, or more complex architecture.
AI Workforce Stewardship
Scoped per engagement
After day 90: monitoring, exception review, planned improvements, retraining, and monthly capacity review.
Led by Allen Insight Group. Technical deployment powered by our approved implementation partner.