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Sigi tracks every signer's interaction with the contract. When they opened it, how long they spent, which pages they viewed. AI predicts signing likelihood and flags stalled signers who viewed but haven't signed after 24 hours. Background checks every 6 hours so the picture stays current without anybody polling.

Contract goes out, behavior gets tracked, AI predicts likelihood, stalled signers get caught early.

Tracking Starts
The moment the contract goes out for signature, Sigi starts tracking. Every signer on the contract gets monitored individually. The team sees activity as it happens rather than wondering whether the document ever reached the right inbox.

Behavior Signals
When each signer opened the contract, how long they spent reading, which pages they actually viewed, whether they returned for a second look. The behavior signals reveal whether the signer is genuinely engaged with the document or has set it aside.

AI Likelihood
From the captured behavior, Sigi predicts the likelihood each signer will actually sign. Green means likely, yellow means uncertain, red means risk of stall or refusal. The team sees the prediction alongside the raw signals so they understand why each contract sits where it does.

Stalled Detection
A signer who opened the contract, spent meaningful time reading, and hasn't signed after 24 hours is a stalled signer. Sigi flags them automatically so the team can follow up while the deal is still warm rather than discovering the stall at quarter end.
Sent contracts shouldn't be a black box. With per signer behavior tracking, AI likelihood prediction, and 24 hour stall detection, the team finally sees what happens after the send.
A contract sent for signature with no visibility into what happens next is the default in most teams. The signer opens it, or doesn't. Reads it, or doesn't. Signs it, or doesn't. Sigi removes the guesswork so the team knows exactly where every contract sits.
Will they sign stops being a gut feel and starts being a green, yellow, or red prediction. The team prioritises follow ups based on signal rather than hope. High likelihood contracts run themselves, uncertain ones get the team's attention.
A signer who viewed but didn't sign after 24 hours is a signal worth acting on while the deal is still warm. Catching the stall the next day rather than the next month is the difference between a saved deal and a lost one.
A signer who opened but spent thirty seconds is different from one who spent twenty minutes returning to specific pages. The behavior signals reveal whether the hesitation is not yet read or read carefully and uncertain, which calls for different team responses.
Contract status historically lived inside the legal team's workflow. Sigi exposes signing behavior to the sales operations team that actually needs to chase the deal, without legal losing control of the contract itself.
The 6 hour check cycle runs continuously without anyone having to refresh a dashboard or poll a status. The team's picture of every contract stays current automatically, and the next stalled signer surfaces the moment they cross the threshold.
Per signer behavior tracking. AI signing likelihood prediction. Stalled signer detection after 24 hours. Background checks every 6 hours. The signing visibility layer your team has always needed.
9200+
Teams seeing every signer's behavior, not waiting in the dark
Sales operations teams chasing contract close who need visibility into where every deal sits. Founders waiting on counterparty signatures for high value contracts who refuse to wonder whether the document was even opened. Legal operations teams managing contract throughput at scale. Account managers trying to close before quarter end who need stalled signers surfaced while there's still time to act. Any team whose revenue depends on contracts getting signed.
Tracked
Check Cycle
Detection
Likelihood
Every signer on the contract gets tracked individually. When they opened, how long they spent, which pages they viewed, whether they returned. The signals reveal whether the signer is engaged or has set the document aside.

Per signer open tracking, time spent capture, pages viewed monitoring, AI signing likelihood prediction, stalled detection, background check cycles.

Every signer on the contract gets tracked individually from the moment the document is sent. The team sees who opened, who hasn't, and exactly when each signer first engaged with the contract.

How long each signer spent inside the document gets captured precisely. Thirty seconds versus twenty minutes versus three hours of return visits reveal completely different signals about engagement.

Which pages each signer actually viewed gets recorded. A signer who returned to a specific page multiple times reveals where the hesitation lives. The team knows exactly which provision needs addressing.

From the captured signals, AI predicts the likelihood each signer will actually sign. Green, yellow, or red per signer with reasoning shown. The team prioritises follow ups based on signal rather than hope.

Signers who opened the contract, spent meaningful time reading, and haven't signed after 24 hours get flagged automatically. The stall surfaces while the deal is still warm enough to save.

The check cycle runs continuously every 6 hours without anyone refreshing a dashboard. The team's picture of every contract stays current automatically and stalled signers surface the moment they cross the threshold.

Every signer on the contract gets tracked individually from the moment the document is sent. The team sees who opened, who hasn't, and exactly when each signer first engaged with the contract.

How long each signer spent inside the document gets captured precisely. Thirty seconds versus twenty minutes versus three hours of return visits reveal completely different signals about engagement.

Which pages each signer actually viewed gets recorded. A signer who returned to a specific page multiple times reveals where the hesitation lives. The team knows exactly which provision needs addressing.

From the captured signals, AI predicts the likelihood each signer will actually sign. Green, yellow, or red per signer with reasoning shown. The team prioritises follow ups based on signal rather than hope.

Signers who opened the contract, spent meaningful time reading, and haven't signed after 24 hours get flagged automatically. The stall surfaces while the deal is still warm enough to save.

The check cycle runs continuously every 6 hours without anyone refreshing a dashboard. The team's picture of every contract stays current automatically and stalled signers surface the moment they cross the threshold.
Common questions about what gets tracked, how the AI prediction works, what counts as stalled, what to do with stalled signers, the 6 hour cycle, and how this differs from standard signing platforms.
Every interaction each signer has with the contract. First open time, total time spent inside the document, which specific pages were viewed, whether the signer returned for additional reads, how long each visit lasted. The signals are captured per signer rather than aggregated across the whole contract, so the team sees each individual's engagement separately.
Per signer behavior tracking. AI signing likelihood prediction. Stalled detection after 24 hours. Background checks every 6 hours. The signing visibility layer your team has always deserved.
Turn a contract into a signed, audited document in minutes while AI flags risky clauses before they reach your signer.