FAQ
Frequently asked questions
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
How does the AI ensure proposal accuracy — what if it hallucinates a feature we don't have?
The AI drafts from your content library, not from its training data. Every factual claim in a proposal traces back to a source document in your content library — a previous proposal, a product spec, a security certification, a case study. When the AI encounters a question with no matching content, it flags the gap for human input instead of fabricating an answer. The system is designed for controlled accuracy, not creative generation. You can also set confidence thresholds: 'auto-respond questions with >90% content match confidence, flag everything else for review.' For RFPs where accuracy is critical (government, healthcare, finance), you can set the threshold to 98% and only auto-respond the most straightforward questions.
What about highly technical RFPs — cybersecurity questionnaires, SOC 2 audits, FedRAMP?
These are actually the highest-ROI use case. Cybersecurity questionnaires and compliance RFPs are content-matching problems, not creative writing problems. 80%+ of the questions are standard (NIST controls, SOC 2 criteria, GDPR articles) and have standard answers that barely change between RFPs. AI Copywriter maintains your security response library and maps each question to the authoritative answer — pulling from your actual security documentation, penetration test results, and compliance reports. The AI doesn't speculate about your security posture; it surfaces what's documented. For the 10-20% of questions that are company-specific ('describe your incident response process for multi-tenant architecture'), it drafts from your documented process and flags for your CISO to review.
Can it handle government RFPs with strict formatting and submission requirements?
Yes, and this is where the formatting capability matters most. Government RFPs often have requirements like 'responses must be in 12pt Times New Roman with 1-inch margins and question numbers must match exactly' — violations get you disqualified before anyone reads your answers. AI Copywriter reads the formatting spec, applies it to the output document, and runs a pre-submission compliance check: all questions answered, formatting rules met, page limits respected, required attachments included. It can't guarantee you won't get disqualified (nobody can), but it eliminates the administrative errors that cause most disqualifications.
How does this compare to专门RFP软件 like Loopio or Responsive?
Those are content management platforms for proposals — they store and organize your response library. Tycoon's AI team actively uses them: if you have Loopio, AI Copywriter reads from and writes to your Loopio library. The AI is the operator; Loopio is the tool it operates. If you don't have Loopio, Tycoon's AI team functions as both the tool and the operator — it maintains the content library and generates proposals. Companies with existing RFP software keep it and add Tycoon for the AI drafting and review layer. Companies without RFP software can start directly with Tycoon.
What about pricing — can it generate quotes and SOWs automatically?
Yes, within your approved pricing bands. AI Head of Sales follows your commercial playbook: standard pricing for standard deals, pre-approved discount bands for specific scenarios (nonprofit, multi-year, volume), and escalation rules ('deals over $100K or discounts >20% require founder approval'). It generates the pricing table, the SOW scope, and the payment terms. For deals within policy, it can auto-generate and send for your review. For deals requiring approval, it prepares the package and surfaces the decision point: 'Acme deal at 25% discount — $75K instead of $100K. Approve?' You make the pricing decision; the AI handles everything around it.