Custom AI, built around your business.

AI Employees are long-running, role-shaped — they fill a headcount-shaped position like receptionist, SDR, or data-entry clerk and handle everything that role handles. AI Agents are task-shaped — they complete a specific bounded task like extracting data from a PDF, monitoring a competitor's site, or running a multi-step browser workflow. Most clients deploy both: employees for persistent roles, agents for scheduled or on-demand tasks.

An Assessment starts at $999 USD ($1,299 CAD) and takes 1–2 weeks. A Build engagement ranges from $5,000 to $25,000 USD ($5,000 to $30,000 CAD) depending on scope, complexity, and number of integrations. Simple single-workflow automations start around $5,000. Multi-system integrations with custom model work typically run $15,000–$25,000 USD. Ongoing Managed support starts at $999 USD ($1,299 CAD) per month. Use the USD / CAD toggle on the pricing section above to switch currencies, and we provide detailed fixed-price quotes after the Discovery phase — no surprise bills.

Most Build engagements ship to production in 2–12 weeks. Simple automations connecting two or three systems typically take 2–4 weeks. Multi-workflow projects covering an entire department take 6–10 weeks. Enterprise integrations with custom model training run 8–12 weeks. You get a detailed timeline during the Strategy & Architecture phase before any build work begins.

Yes — and this is actually one of the reasons clients hire us. For legacy systems, industry-specific software, and internal portals without modern APIs, we use browser automation, screen-level integration, document parsing, and email-based workflows to connect them. If a human can operate the tool, we can automate it.

Assessment delivers a strategy — we audit your workflows and produce a prioritized roadmap with ROI projections. You can act on it with us, your in-house team, or another vendor. Build is the implementation phase — we design, develop, test, and deploy a specific AI system into production. Managed is ongoing support — monitoring, retraining, edge-case handling, and scaling after launch. Most clients start with an Assessment, move to Build for the highest-ROI workflow, then add Managed once in production.

Regularly. Common joint engagements include architecture review, MLOps consulting, production deployment support, and specialized builds that fall outside your team's core expertise. We augment rather than duplicate — and we document everything so your team can maintain what we build.

Yes. We sign mutual NDAs before every engagement, including the free Discovery call if you request one. Your business data, proprietary workflows, and competitive intelligence are protected. We also maintain strict data segregation between client projects — no cross-contamination of data or models, ever.

AES-256 encryption at rest and TLS 1.3 in transit across every system we deploy. Role-based access control, immutable audit logs, and least-privilege defaults. SOC 2-aligned controls. Independent penetration testing annually. For clients with strict compliance requirements, we offer dedicated processing environments with no shared infrastructure.

Not every task is a fit for full AI automation today. During Assessment we're transparent about what can and can't be automated reliably. For edge cases, we build hybrid workflows where AI handles the routine work and escalates exceptions to your team with full context. The goal is reliable automation, not overpromising.

Book a free 30-minute Discovery call through the contact form. We'll discuss your business goals, current tech stack, and the workflows that are costing you the most time. If there's a fit, we move into a paid Assessment where we audit your workflows and deliver a detailed AI roadmap with ROI projections — usually within two weeks.