New
Work is changing. People and organizations need a new operating approach—not a rush toward whichever tool arrived most recently.
About New Manual
How New Manual works
and what it will not do.
New Manual is an independent AI adoption and implementation practice based in British Columbia and working across Canada.
Understand before prescribing.
New Manual helps organizations understand where AI can create genuine value, what responsible use would require and where it does not belong.
The work begins with the organization: its mandate, people, priorities, services, operating realities and relationships—not a predetermined technology, platform or pilot.
The idea in the name
A new approach.
Built to be used.
Manual
The response should be practical, understandable, teachable and open to revision. A working guide, not a fixed doctrine.
Leadership
Two complementary kinds of operating experience.
Jason Carroll brings strategy, workflow, commercialization and measurable implementation. Sagar Saxena brings technology delivery, community partnerships, rural economic development and ecosystem building.
Meet the principals→Who we work with
Organizations with real mandates and people to serve.
01Companies & employers02Nonprofits & NGOs03Government & public sector04Educational institutions05Industry & professional associations06Economic-development organizations07Workforce organizations08Foundations & community networks
How the practice is positioned
Adoption and implementation
New Manual helps clients understand their organization, map opportunities, set priorities and build the conditions for responsible implementation.
Independent recommendations
Tool choices follow the task, information, users and operating constraints. New Manual does not resell technology.
An input, when useful
Public funding may support a larger initiative. New Manual is not a grant consultancy, and funding does not determine the work.
Practice that changes work
Awareness sessions have a place. New Manual focuses on what people can apply, check, document and improve afterwards.
Operating principles
The standard is useful, responsible and understandable.
- 01
Understand the organization before prescribing a solution.
- 02
Build with the people who will use or be affected by the system.
- 03
Treat privacy, information sensitivity and human responsibility seriously.
- 04
Test before expanding.
- 05
Prefer evidence over performance.
- 06
Make the work understandable enough to explain, question and change.
- 07
Measure whether something is genuinely helping.
- 08
Be honest when AI is not the right answer.
“If AI does not improve the work—or creates more risk and complexity than value—New Manual is prepared to say so.”
Evidence over theatre
Organizations begin by understanding the outcomes, people, systems and constraints involved. They pursue only the opportunities that fit, choose proportionate ways to validate them and build on what the evidence supports.
A practical first step
Describe the organization and the questions in front of it
Identify the mandate, priorities, people affected, current AI use and what leadership needs to understand before choosing a direction.
Prepare a starting brief→