Federal contracting / GWAC capture
Illustrative scenario

Your Capture Team Spends 20 Hours a Week Reading Opportunities They'll Never Bid

At a $300M–$700M GovCon prime, GWAC task order monitoring is a volume problem. OASIS+ and CIO-SP4 generate a constant flow of postings, and capture managers are spending four or more hours every day just processing them before any strategic work begins. An AI agent can handle the daily monitoring and initial scoring, so your capture director's attention goes to the opportunities that actually fit rather than the full firehose.

Up and running in ~5 wkFor: VP of Capture Management
Estimate your payback
~3 mo
Payback period
$245K
Est. savings / year
+$175K
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

Cold Triage Is Eating Your Capture Capacity

Tier 2 GovCon primes in the $300M–$700M range typically run lean capture teams against a wide vehicle portfolio. When SAM.gov and GovWin IQ monitoring falls to individual capture managers, the daily triage load — reading postings, checking NAICS and vehicle eligibility, comparing requirements against past performance — consumes the majority of their productive hours before any actual capture analysis happens. At $180,000–$350,000 per year in fully-loaded capture staff cost, a significant portion of that spend is funding work that a well-configured agent can handle.

Trained on Your Win History, Not Generic Scoring Rules

An AI Labor Company agent mines your past capture memos and win/loss data from Deltek Costpoint to understand what your firm actually wins and why — vehicle alignment, past-performance clusters, agency relationships, and teaming patterns. It then deploys an agent that monitors SAM.gov and GovWin IQ daily, scores each new OASIS+ and CIO-SP4 posting against your specific fit criteria, and routes only high-confidence opportunities to the capture director for bid-no-bid sign-off. Low-score postings get documented and set aside with reasoning logged. The Salesforce pipeline updates automatically. Integration also covers Unanet and SharePoint for proposal asset cross-referencing.

More Pipeline Coverage, Same Team

The direct efficiency case is cutting cold triage from roughly 20 hours per week to under 8 — typically achievable with 60–80% reduction in manual monitoring labor, and the agent is generally live in about 5 weeks. But the growth case matters more: a capture team freed from daily SAM.gov processing can increase the number of opportunities it evaluates seriously, which means more qualified bids in the pipeline without adding headcount. For a firm in the $300M–$700M range with room to grow vehicle utilization, that expanded pipeline coverage is where the revenue upside lives.

Works with
GovWin IQDeltek CostpointSAM.govSalesforceSharePointUnanet
Questions

Does the agent make bid-no-bid decisions, or does a human still do that?

The agent scores and routes — bid-no-bid decisions always go to the capture director for sign-off. The agent's job is to eliminate the opportunities that clearly don't fit before they consume human attention.

How does the agent handle opportunities that span multiple GWAC vehicles or have ambiguous scope?

Those are flagged for human review rather than auto-scored. The agent is calibrated to route uncertain cases up rather than make a call it isn't confident in.

Can the agent be tuned as we win more work and our past-performance profile evolves?

Yes. The scoring model is updated as new win/loss data is added to Deltek Costpoint — it learns from your evolving capture record, not just the initial training set.

Related use cases

Illustrative scenario for public sector & govtech. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

Want this running in your business?

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