Where AI fits in your work, and how to start.
AiShift goes through a role task by task and sorts the work: what AI can take over, what it speeds up, and what should stay with the person. Most teams find they can hand over more than they expected.
Automatable
Automatable
Amplifiable
AmplifiableAutomatable
AI does these; you review the result.
Amplifiable
AI does the prep; you do the work and decide.
Protected
These stay with you.
Every task gets a verdict and a tool.
The analysis starts from the work itself. Each task in the role is reviewed, sorted into one of three verdicts, and matched to a specific tool where one makes sense. If nothing reliable exists yet, the report says so.
See a scanned roleAutomatableAutomatableAmplifiableAmplifiable
AmplifiableMatched against the tools teams already license.
Current tools, checked against what your company already licenses.
OpenAIClaudeGemini
GitHub CopilotPerplexity
Mistral
CursorUiPath
Zapier
NotionThe implementation playbook.
Statement matching moves to a bot first, because the task is fully automatable and the result is easy to check. Weeks 1 to 2.
Cash-flow scenarios arrive prepared for review, and the analyst decides which one to use. Weeks 3 to 5.
Board pack tables fill from live data, so the analyst reviews numbers instead of assembling them. Weeks 6 to 8.
AutomatableWhich team goes first.
Two roles side by side with the same columns settles the order. The one with the most hours to gain, and the least to protect, usually becomes obvious.
Did it work.
One page for whoever asked the AI question, and the same page a quarter later. The outcomes view shows what was adopted and what the hours came to.
Written for the person whose work it is.
The report walks the role task by task, names the tool for each one and ends with the time it gives back. In its own words: AI helps with the work; the decisions stay with you.
A 15-page report on where AI fits in the role and how to start.
Browse sample reports
Vega AiShift · Your AI PathwayWhere AI fits in your work, and how to start.
A look at this role, task by task: what AI can do for you, what it speeds up, and what stays yours.
Where teams run it
How exposed is our workforce to AI?
One brief across every scanned role, built from the tasks people actually do rather than their job titles.
Start with one team and its real workflows
The playbook turns the scan into steps a team can follow in a quarter, with the tools named.
Decide who to reskill first, and toward what
The scan shows which roles change most, so training budgets follow the actual exposure.