# AI assistants that actually ship. *And stay shipped.* *Production AI agents on Workato: Scout for pipeline, Sales Genie for reps, and Enterprise MCP for your stack. Shipped in weeks, running at named customers.* Canonical: https://onesolve.io/solutions Production-grade AI · Live in weeks, not quarters Most AI projects die in the demo phase. Ours don't. We build assistants and automations that survive real users, real data, and real edge cases — then keep getting better from them. [Book a working session →](contact-us.html) [See what we ship →](#solutions) Production, not pilots ## What numbers do our buyers defend to their CFO? *50%* Support questions deflected by month two. Enterprise SaaS, Ask Genie *90%* Fewer API calls after re-architecture. Product-experience platform *Zero* Duplicate records across invoices & customers. FinOps re-architecture *8 wk* Median time from kickoff to production. Across recent engagements Trusted by teams at Workiva SingleStore Articulate Extreme Networks Rapid7 Benchling Pendo Fastly DigitalOcean Signature solutions ## Three agents in production. *Built and shipped in weeks.* Workato-native, Slack-first, and connected to the systems your team already uses. No rip-and-replace. No six-month timelines. Pipeline · Sales ### Scout Pipeline command for managers. Detects risk, hygiene gaps, and sentiment shifts in deals, surfacing them in Slack the moment they matter. No dashboard to log into. 7–9 hrs saved per manager, per week [See Scout in depth →](solutions/scout.html) Co-pilot · Reps ### Sales Genie Pre-call briefs, post-call CRM updates, objection coaching — in Slack, on your playbook. 4 hrs back per rep, per week [See Sales Genie in depth →](solutions/sales-genie.html) Platform · MCP ### Enterprise MCP MCP servers and agent playbooks built for your stack. Bridges the gap between the LLM and the systems your team uses, with every output in the same, consistent format. 3 wks from brief to production MCP [See Enterprise MCP in depth →](solutions/enterprise-mcp.html) Accelerators & playbooks ## Which recurring use cases do we already have pre-built? When the pattern is well understood, you shouldn't be paying to invent it. Drop these in, customize the edges, and ship. Legal · Accelerator ### Contract Review Assistant Summarizes terms, flags risk language, and posts structured findings into Google Docs or Slack. Security · Accelerator ### Security Questionnaire Assistant Drafts compliant answers with citations to your evidence library. Human-in-the-loop by default. RevOps · Accelerator ### SalesVista: Account Intelligence Unified snapshot across Salesforce, Zendesk, and Gainsight. Built for QBR prep and exec reviews. How we engage ## Three shapes. Same senior team. Pick the one that matches the moment. The engagement scales with you, and the same practitioners stay from kickoff to handoff. Jumpstart ### One agentic workflow. To production. 2 to 4 weeks - One agentic workflow scoped, built, and shipped - KPI defined on day one, measured on go-live - Documentation and runbook handed over - Your team can extend it without us [Scope a Jumpstart →](contact-us.html) Scale-up ### Three to five agentic workflows. Together. 8 to 16 weeks - Three to five production agentic workflows shipped together - Playbooks and runbooks for every agentic workflow - Governance framework and observability stack - Named partner, weekly tuning, monthly review [Scope a Scale-up →](contact-us.html) Managed ### Production covered. Partnership ongoing. Continuous engagement - 24/7 monitoring with on-call rotation - Steady tuning as your motion changes - Monthly business review with named partner - New agentic workflows added without re-scoping [Scope a Managed engagement →](contact-us.html) In their words ## Teams that shipped. What they said. Scout flagged a deal I'd written off. We saved $480k in ARR. The thing pays for itself in a week. **VP Sales** Enterprise SaaS · Scout It's like every rep just got a senior SE shadowing them. Forecasting got real overnight. **RevOps Director** Vertical SaaS · Sales Genie [Read the full customer stories →](customer-stories.html) Common questions ## The things you're probably about to ask. **How fast can we see value?** Most teams ship a first production workflow in 2 to 4 weeks. We define the KPI on day one and measure from there. A recent client saw 50% question deflection in their first full month live. **How do you handle security and compliance?** Least-privilege access, SSO/SAML, full audit logging, and clear data boundaries. We can run pilots inside a sandbox tenant so nothing leaves your perimeter. SOC 2, GDPR, and HIPAA-aware engagements are routine. **Which models and tools do you use?** Platform-agnostic. Workato is our orchestration spine; Slack, Salesforce, Zendesk, NetSuite, and Snowflake are the systems we plug into most. Model selection (Claude, Gemini, GPT, or private models) depends on security, cost, and task fit, not vendor preference. **Do you provide training and change management?** Always. Every engagement ships with documentation, runbooks, and hands-on training. We also help you stand up Centers of Excellence and citizen-developer programs so the work continues after we step back. **What if we already have an internal AI team?** Even better. We work as a force multiplier, taking on the production-hardening, governance, and integration plumbing your team would rather not do, so they can focus on what only they can build. Co-builds and pure advisory engagements both work. ## Ready to ship something that *survives Monday?* Bring us your stuck use case. We'll show you what's possible in 30 minutes — and what production looks like by the end of the quarter. [Book a working session →](contact-us.html) [Email us directly](mailto:hello@onesolve.io)