Ask in plain language
A team asks the question, not a data team. Bossint agents define the research task, gather evidence and return a concise, traceable brief.
Bossint AI gives Snap Inc. teams on-demand and scheduled agents that research, reason and predict on approved internal data and/or live web intelligence.
This way, Snap Inc. gets answers that are ready to act on.
A team asks the question, not a data team. Bossint agents define the research task, gather evidence and return a concise, traceable brief.
Give each agent scoped access to approved Snap sources, including campaign, market, partner, product or operational data, within clear governance boundaries.
Bring in public web, news, competitor, creator and market signals on demand, so internal facts meet the outside world responsibly.
Bossint AI is not another reporting layer. It is a research and OSINT agent capability built to investigate a question, connect the evidence and put a recommended next step in front of the right team.
Turn approved research, product knowledge, partner documents and operational datasets into a queryable intelligence base for the teams who need it.
Investigate emerging narratives, competitor moves, creator ecosystems and category signals as they happen, not when a quarterly report arrives.
Agents synthesize permitted account context with public company, category, competitive and campaign signals, ready for sales, strategy and client teams.
Start with a high-frequency, high-value intelligence question for one Snap function.
Define approved sources, access controls, outputs and review requirements before agents go to work.
Combine Snap context with targeted web research and OSINT sources for a repeatable answer engine.
Measure research time saved, answer quality and action taken before extending to the next team.
Ingests official government gazettes, news publications, and local media across Arab states in both Arabic and English.
Correlates policy changes with Snapchat operations (e.g., mapping KSA's residency rules to database shard locations).
Computes risk ratings and provides targeted legal impact summaries for policy teams, indicating specific vulnerability factors.
Auto-assigns mitigation checklists (e.g., engineering tasks or policy edits) directly to designated internal teams.