About Cape Fox FCG
Cape Fox Federal Contracting Group (FCG) is a division of the Cape Fox Corporation (CFC), an Alaska Native Corporation (ANC) established for the village of Saxman under the Alaska Native Claims Settlement Act (ANCSA). Cape Fox FCG delivers professional IT, healthcare, logistics, and construction services to U.S. federal agencies.
We sat down with Tim Blaszkow, a Federal Growth Executive and AI-innovator at Cape Fox FCG, to discuss their use of GovDash across their BD lifecycle.
Turning CRM and AI agents into BD leverage
Cape Fox uses GovDash as its primary CRM across 12 federal subsidiaries, giving its business development team a single system to manage pipeline, organize customer intelligence, and support capture work at scale.
The team has scaled to 20–25 total users, and actively manages 15–20 opportunities at a time in the GovDash platform.
By combining CRM workflows with AI agents and skills, Cape Fox has reduced manual research, improved opportunity coverage, and increased output without adding team resources over the past year.
The challenge
Before GovDash, Cape Fox relied on an internal SharePoint-based solution to manage BD information. As the team scaled its capture and pipeline work, it needed a better way to centralize data, organize field intelligence, and reduce the time spent turning raw notes into actionable insight.
The goal was straightforward: let BD and capture teams spend more time engaging customers and less time sorting through documents, tracking information manually, and assembling research.
The solution
Cape Fox adopted GovDash as its primary CRM and now uses it as its “source of truth for BD.”
Capture managers use GovDash as part of a repeatable workflow:
- meet with customers and collect raw notes
- link those notes and materials to the opportunity record
- query GovDash to organize the information and surface relevant insight
That workflow supports several core use cases:
- customer engagement tracking
- competitor tracking
- technology integration analysis
Cape Fox also uses agents and skills primarily in early-stage BD and capture, as well as proposal and compliance workflows.
One of their most valuable agent workflows kicks off as soon as a new opportunity enters the pipeline. The agent compiles an initial competitive landscape by gathering and organizing context such as:
- agency budget
- strategic plan information
- stakeholder mapping
- funding and reorganization signals
As Cape Fox’s use of the platform evolved, the team also shifted some workflows from agents into skills when they proved to be a better fit for more irregular processes.
“GovDash is our source of truth for BD.” “Each capture manager is able to take on more opportunities because they’re not having as much time tied up in sorting through data and trying to pull out insights.”
Accelerating BD work
GovDash has helped Cape Fox create measurable efficiency gains in its BD process.
One example is its competitive analysis workflow, which saves 3–4 hours every time it runs compared with manual research.
Just as importantly, the team reports increased output over the past year without adding headcount.
Key metrics from the deployment include:
- 12 federal subsidiaries using the platform
- 15–20 active opportunities managed at a time
Beyond CRM: new ways to work
Cape Fox’s use of GovDash has expanded beyond structured CRM workflows.
The team also uses the platform for:
- strategic planning
- white space analysis
- market prioritization
It is also actively using document generation to create branded first drafts of RFI responses, helping accelerate downstream proposal work.
Cape Fox also highlighted project management and deliverables extraction as an important emerging area, especially as operations teams become more consistent about contributing data upstream.
GovDash as a source of truth
Cape Fox described GovDash as its “source of truth for BD” and emphasized that the platform helps its capture managers focus less on manual information processing and more on customer engagement.
The team also pointed to the pace of product iteration as a major positive and did not raise any immediate feature gaps during the conversation.