What companies are running into
Small and mid-sized businesses want to use AI in support, operations, compliance, knowledge work, and customer communication, but generic models still make costly mistakes.
Expert infrastructure for the AI era
Black Strap helps startups and SMEs improve AI quality with expert review, post-training workflows, audit-ready processes, and trusted domain-specific knowledge.
The market shift
Small and mid-sized businesses want to use AI in support, operations, compliance, knowledge work, and customer communication, but generic models still make costly mistakes.
A structured way to bring verified professionals into AI evaluation, improvement, and oversight without forcing SMEs to build their own expert networks from scratch.
Core solution
Score AI outputs against business rules, domain logic, and real-world expectations.
Build preference data, gold answers, and structured feedback loops where public internet data falls short.
Give customers clear evidence of how decisions were reviewed, improved, and documented.
SME onboarding
Clarify the use case, risk level, current workflow, data sensitivity, and the customer’s real measure of success.
Define one narrow workflow, one decision-maker, one dataset or queue, and a short success window of 2 to 4 weeks.
Put NDAs, access controls, secure intake, and expert assignment in place before the first production tasks begin.
Run the pilot, report findings weekly, and refine rubrics quickly so value becomes visible early.
Full process notes are documented in SME_ONBOARDING_PLAYBOOK.md.
Ecosystem
HubSpot for lead capture, CRM, outreach, and SME pipeline management.
Stripe for pilot billing, subscriptions, and eventual multi-party payouts.
Docusign for NDAs, pilot scopes, expert contracts, and client approvals.
Calendly for frictionless booking and SME-friendly discovery workflows.
AWS for credits, infrastructure, marketplace reach, and startup programs.
Identity vendors such as Veriff can support stronger expert and contractor verification as the platform grows.
Full research, priorities, and why each company matters live in PARTNER_RESEARCH.md.
Trust and compliance
IP review, geolocation checks, VPN and proxy restrictions, device consistency, and step-up verification for suspicious behavior.
ID verification, credential capture, domain testing, structured trial tasks, and AI-assisted interviews reviewed by humans.
Encryption in transit and at rest, least-privilege access, audit logs, DPAs, GDPR readiness, and HIPAA-aware handling when health data enters scope.
Detailed requirements and competitor notes live in SME_ONBOARDING_PLAYBOOK.md and PARTNER_RESEARCH.md.
Founder edge
AI quality problems are not only technical. They are operational. Black Strap is designed around real-world delivery, QA, trust, and client service.
Better expert onboarding, tighter review loops, clearer commercial scoping, and a stronger path from managed service into repeatable software.
Next step
Tell us what AI workflow you want reviewed, whether regulated data is involved, and where your team is based. We will use that to scope the right first pilot.