When AI supports compliance reviews and proposal outcomes, teams need more than an output. They need to understand how the output was produced, what evidence supports it, and what gaps still exist.

Today, we are rolling out a major upgrade to Dash AI Agent. The result is a transparent, controllable experience built for how GovCon teams actually validate work in reviews.

What’s new

1) Transparent reasoning: Dash shows the path, not just the answer

Dash now surfaces how it arrived at its result. Not vague “AI confidence,” but clear reasoning trails you can follow.

You’ll see:

• What it looked at

• The approach

•  Actions it took

• Reasoning for final output

This is the difference between AI that produces an answer and AI that supports a defensible decision. Dash behaves less like a chatbot and more like a workflow-native agent built for compliance and proposal work, surfacing assumptions and highlighting gaps.

2) Visible sources when browsing external information

Dash now explicitly shows the origin of external information it uses, clarifying where it comes from.

If you ask Dash to research competitors through Web Search, Dash will show which sources it used and how those sources influenced the outcome.

This matters because external intelligence is only useful when you can clearly see where it came from, whether it’s current and credible, and whether you can confidently cite it or defend it in a review. Dash is built to make those answers obvious.

3) External intelligence synthesized at scale

Dash can pull more external information at once and reason about it as a single system, rather than a set of disconnected lookups.

Instead of checking one source, then another, Dash gathers relevant external data, evaluates it together, and synthesizes a coherent view. Sources are still visible and traceable, but the real upgrade is how Dash connects the dots across inputs.

This enables workflows like:

• Market and competitor context are analyzed in parallel and tied directly to your active pipeline

• Agency behavior signals surfaced across multiple sources to inform the capture strategy

• Subcontractor and teaming research synthesized with clear citations and rationale

4) Extreme depth by default

Dash is optimized for outcomes.

With this upgrade, Dash automatically goes deeper when the problem demands it, especially in complex workflows where missing a nuance can cost you time, rework, or risk.

You’ll notice:

• Multi-step reasoning and memory between steps

• Stronger handling of ambiguity

• More complete outputs

• Fewer “sounds right” responses and more grounded reasoning

5) Select-all functions

This is a big advantage for GovCon teams.

You can select an entire proposal and run a compliance check in one flow. Dash evaluates everything together instead of in fragments.

That means faster identification of gaps and inconsistencies, less manual stitching across sections and requirements, and stronger confidence that nothing was missed.

“This launch is about traceability and control. Dash now shows exactly what it did, why it did it, and what is important for the user to know. Teams need to be able to validate outputs quickly and defend decisions during compliance and proposal reviews."
— Parker Miller, Lead Engineer

Next steps

Book a demo to see how Dash AI Agent replaces black-box outputs with reasoning and sourcing that your team can review, validate, and stand behind.