Address: 1793 Lafayette Street, Ste. 120, Santa Clara, CA 95050

Phone:  (650) 887-4601

Email: info@bacsit.com

Free Assessment

Is Your Business

Ready for AI?

Section 1 / 5

Before You Begin

This assessment evaluates your organization across five dimensions of AI readiness. Answer honestly — there are no right or wrong answers, only useful ones.

5
Dimensions assessed
17
Questions total
~5
Minutes to complete
Section 1 of 5

AI Awareness & Vision

How well does your leadership team understand what AI can — and can't — do for your specific business?

Question 1
How would you describe your leadership team's current understanding of AI and its practical business applications?
We have little understanding — AI feels distant or overhyped to us
Some people in our organization are using tools like Copilot, ChatGPT, or Power Automate, but it's informal and not coordinated
We've explored the landscape and have identified a few potential business applications
We have a clear and shared understanding of AI opportunities specific to our industry and operations
Question 2
Has your organization defined specific business outcomes you'd want AI to help achieve?
No — we haven't had that conversation yet
Informally — some team members have ideas but nothing documented
Partially — we've identified one or two areas but haven't formalized them
Yes — we have documented goals tied to measurable business outcomes
Question 3
How do your competitors or peers in your industry view and use AI today?
We're not sure — we haven't looked into it
We hear stories about competitors using AI but don't understand how they get much value from it
Some competitors are experimenting and we're watching closely
Competitors are actively deploying AI — we need to move or fall behind
Please answer all questions in this section before continuing.
Section 2 of 5

Data & Infrastructure

AI runs on data and depends on a capable tech foundation. How ready is yours?

Question 4
How would you describe the quality and accessibility of your organization's data?
Data is scattered, inconsistent, or hard to access across the business
Some data is organized but key systems aren't connected
Most data is centralized and reasonably clean, with some gaps
Our data is well-organized, accessible, and reliable across systems
Question 5
How current and cloud-enabled is your core IT infrastructure?
Primarily on-premise, aging hardware, minimal cloud adoption
Hybrid setup — some cloud tools but significant on-premise legacy systems
Mostly cloud-based with a few legacy systems remaining
Cloud-first, modern stack — infrastructure is not a limiting factor
Question 6
How well do your current software systems integrate and share information with each other?
Most systems are siloed — data has to be manually transferred or re-entered
Some integrations exist but many workflows are still manual
Key systems are connected; we have reasonable automation in place
Systems are well-integrated with strong automation and minimal manual data handling
Please answer all questions in this section before continuing.
Section 3 of 5

Process Maturity

AI amplifies good processes — it can't fix broken ones. How well-defined are your operations?

Question 7
How well-documented are your key business processes and workflows?
Most processes live in people's heads — little is formally documented
Some key processes are documented but many aren't kept current
Most important workflows are documented and reasonably followed
Processes are well-documented, consistently followed, and regularly reviewed
Question 8
Are there repetitive, high-volume tasks in your operations that consume significant employee time?
Not really — our work is mostly unique or judgment-based
A few areas have repetitive work but it's not a major time drain
Yes — there are clear areas where repetitive tasks slow us down
Significantly — repetitive work is one of our biggest productivity challenges
Question 9
How does your organization typically handle change — new tools, processes, or ways of working?
Change is difficult — team resistance and slow adoption are common challenges
Change happens but it's inconsistent — some teams adapt faster than others
Most team members are receptive to change when given adequate support
Our team embraces change — we have a culture of continuous improvement
Please answer all questions in this section before continuing.
Section 4 of 5

Leadership Alignment & Culture

Successful AI adoption starts at the top. How aligned is your leadership team?

Question 10
How would you characterize your leadership team's appetite for AI investment?
Skeptical — leadership sees AI as a distraction or unproven risk
Curious but cautious — open to exploring but not ready to commit resources
Supportive — leadership is aligned and willing to invest in the right opportunity
Champions — AI is a strategic priority with budget and executive sponsorship
Question 11
Does your organization have a designated owner or champion for technology and AI initiatives?
No — technology decisions are reactive and uncoordinated
Informally — someone handles IT but doesn't lead strategic tech decisions
Partially — a leader champions tech but without dedicated authority or budget
Yes — we have a clear technology owner with authority, budget, and accountability
Question 12
How does your organization approach data privacy, security, and compliance requirements?
Reactively — we address issues when they arise but lack proactive policies
Basic compliance — we meet minimum requirements but haven't gone further
Proactive — we have documented policies and review them regularly
Mature — security and compliance are embedded into our culture and operations
Please answer all questions in this section before continuing.
Section 5 of 5

Workforce & AI Training Readiness

The biggest barrier to AI adoption isn't technology — it's people. How prepared is your team to actually use AI?

Question 13
How would you rate your employees' current comfort level with AI tools (e.g., Copilot, ChatGPT, automation software)?
Low — most employees have little to no experience with AI tools
Some individuals use AI tools personally but it's not part of work workflows
Several team members use AI tools at work with varying levels of proficiency
Most employees are comfortable with AI tools and actively use them at work
Question 14
Has your organization provided any formal AI training or upskilling for employees?
No — employees are on their own to figure out AI tools
Minimal — we've shared a few resources but nothing structured
Some — we've done workshops or training for select teams
Yes — we have an ongoing AI training program across the organization
Question 15
How concerned are your employees about AI replacing their roles?
Highly concerned — fear and resistance are creating friction around AI discussions
Somewhat concerned — the topic makes some uncomfortable but isn't derailing things
Neutral — employees accept AI is coming and are watching how leadership handles it
Engaged — employees see AI as an opportunity to do more meaningful work
Question 16
If you deployed AI tools tomorrow, how capable would your team be of using them effectively without significant hand-holding?
Not at all — we'd need extensive training and support before any adoption
Limited — a small group could manage but most would struggle
Moderate — many could adapt with structured onboarding
High — our team is adaptable and would pick up new tools quickly
Question 17
Looking ahead, which outcome would matter most to you from an AI investment?
I'm not sure yet — we haven't thought concretely about outcomes
Cost reduction — doing more with less, reducing manual labor or overhead
Productivity — helping our team work faster and focus on higher-value work
Competitive advantage or innovation — using AI to get ahead, not just keep up
Please answer all questions in this section before continuing.
Section 1 / 5