What is already running?
Ideas, pilots, purchased tools, and internal builds are captured in one map.
An AI portfolio audit shows leadership where resources are going and which initiatives to launch, merge, postpone, or stop.
It is a decision tool, not just a list of automation requests.
Ideas, pilots, purchased tools, and internal builds are captured in one map.
Similar RAG systems, assistants, scoring models, and automations are merged before they consume budget.
Initiatives are compared by value, feasibility, timeline, risk, and process readiness.
Each strong initiative gets a business owner, metric, validation date, and data source.
Collect initiatives from interviews, documents, backlog, Jira, spreadsheets, decks, and current pilots.
Turn each initiative into one card: problem, owner, users, product, data, impact, and status.
Check value, feasibility, security risks, data availability, architecture dependencies, license costs, and open-source alternatives.
Prepare decisions: launch, clarify, merge, replace, postpone, stop, or move into a product track.
Budgets, teams, statuses, products, risks, and impact across important initiatives.
A few initiatives that can start first without a large transformation program.
What should not continue now because there is no impact, owner, data, or managed route.
Which blockers to remove, gates to introduce, and financial results to validate.
The format follows portfolio scope and stakeholder count. The total fee is fixed before work begins.
from USD 2,000
from USD 4,500
from USD 9,000
Pricing follows the number of initiatives, departments, and interviews — not company size. Any additional scope is agreed before the engagement starts.
In 20–30 minutes, we review the context, initiatives, overlap, and risks and identify the right portfolio-audit format.