Releasing Basewell Intelligence 3.0

Today we're releasing model update 3.0, with improved support for ambiguous, nuanced, casual, real-time queries. Basewell now understands questions in your context (how you work and speak) because smart tools shouldn't require prompts or habit changes to work well.

We’re achieving this goal through two critical improvements:

Reflective, not reactive query architecture

Most AI tools require detailed prompts for accurate responses, burdening users with complexity and decreasing reliability. This process is inherently reactive, forcing users to tweak their actions after negative experiences. By interpreting questions with context on each user, company, and other paramaters, Basewell becomes reflective: rephrasing, prompting, and fixing errors before they impact response accuracy.

Reflective, not reactive architecture is critical for long-term viability, ensuring natural language can actually be natural. After all, most human questions are casual or ambiguous. Coworkers already have this context, which is why they can often produce answers. Now your learning tools can do the same.

Consensus paramaters

When working in person or in groups, solutions to hard problems are often realized in consensus. Multiple people agree that a certain direction is the right one. Alternatively, when working with async tools, consensus can be hard—or impossible—to find. This issue leads to:

What if there was a way to get answer consensus, without losing context, measured against verified company info, in seconds instead of days? With our 3.0 model update, Basewell does just that; double-checking for accuracy before returning an answer.

Behind the scenes, Basewell automatically runs multiple checks-and-balances to ensure responses are contextually relevant, verifiably accurate, and retrieved correctly. After consensus has been reached across these checks, a response is returned in language familiar to the user.

Once again, everything happens automatically. Users can just focus on asking questions and getting back to doing their best work.

Intelligence 3.0 in Action

1. New Employee Onboarding Excellence

Scenario: A new marketing coordinator asks, "What's our process for requesting design assets?"

How Intelligence 3.0 Works: Understands "process" context and searches employee handbook, design guidelines, and workflow docs, cross-checking multiple sources for accuracy.

Intelligent Response: "For design requests, use our Creative Brief template found in the Marketing Resources section. Submit requests through the process outlined in our Design Team Guidelines - typical turnaround is 3-5 business days for standard requests. The Brand Guidelines resource also has helpful tips for writing effective creative briefs."

Outcome: New employees get precise answers from official company documentation without hunting through multiple resources, accelerating their ability to follow proper processes.

2. Cross-Department Knowledge Retrieval

Scenario: A sales rep in Slack types /ask What's our latest pricing for enterprise customers?

How Intelligence 3.0 Works: Interprets "enterprise" and "latest" context to surface current pricing sheets and sales materials from the knowledge base.

Intelligent Response: "Based on our Q4 2024 Enterprise Pricing Guide, standard enterprise pricing starts at $2,500/month for 100+ users. The Enterprise Sales Playbook shows volume discounts available for 500+ users. Reference the Competitive Pricing Comparison sheet for positioning against competitors."

Outcome: Sales reps get instant access to current pricing information without leaving Slack, pulling from organized sales resources.

3. Policy and Procedure Clarity

Scenario: An operations manager asks, "What's our remote work policy for international employees?"

How Intelligence 3.0 Works: Parses "international" and "remote work" to identify relevant HR policies and compliance resources.

Intelligent Response: "According to our Remote Work Policy document, international employees must be located in approved countries listed in the International Employment Guidelines. They need to complete the Remote Work Agreement form and maintain core overlap hours with their team. See the Tax and Legal Considerations page for country-specific requirements."

Outcome: Managers get definitive policy information from official company resources, ensuring consistent application of policies across the organization.

4. Reflective Query Processing

Scenario: A team member asks, "Tell me about pricing."

How Intelligence 3.0 Works: Recognizes the ambiguity in "pricing" and considers user context rather than returning generic search results.

Intelligent Response: "I found several pricing resources in your knowledge base. Are you looking for:

Or if you're helping a specific customer, I can point you to our Sales Pricing Toolkit."

Outcome: Instead of overwhelming users with irrelevant results, Intelligence 3.0 guides them to the most relevant information based on their likely needs, eliminating guesswork and reducing search time.

Through understanding questions regardless of "prompt" and ensuring accuracy through a series of response checks-and-balances, this new model is a substantial step towards making Basewell your most helpful co-worker—not just a co-pilot.

Learn more by giving Basewell a try below: ↓