Private AI systems, built by an operator, for businesses that need real execution.
Plinko Solutions helps businesses turn AI from a buzzword into operating infrastructure. The company designs private AI systems, multi-agent workflows, and assistant lanes that improve sales execution, streamline operations, and create measurable business outcomes.
Selected results and case-study context
Plinko’s positioning is backed by real solutions-engineering work across SaaS, RevOps, recruiting, events, and professional-services teams.
Recruitment workflow acceleration
Delivered $24K in net-new pipeline within three weeks for a SAP-integrated recruitment firm by designing CRM and API automation that eliminated manual handoffs and compressed sales-cycle velocity.
Events-client recovery
Built AI-driven email-classification and triage workflows wired into a CRM for an events client, helping recover roughly $18K in closed contract value through faster follow-up and cleaner workflow handling.
Tax-lien lead engine
Architected a 24/7 lead-sourcing pipeline for Timberline Tax Group with sub-5-minute publish-to-dial latency, feeding 14 sales reps a large attributable monthly pipeline through custom data capture and routing infrastructure.
Plinko is not built around AI hype. It is built around practical implementation, private infrastructure, and the kind of systems that help lean teams move faster without adding another bloated software stack.
Jonathan McLemore
Jonathan McLemore is a solutions engineer and the founder of Plinko Solutions, with 5+ years bridging sales and engineering across B2B SaaS, RevOps, automation, and enterprise content workflows.
His background spans technical discovery, API and CRM architecture, proof-of-value demos, and implementation design for founders, ops leaders, and enterprise stakeholders. That includes work across HubSpot, Make.com, REST APIs, webhooks, Airtable, M-Files, and AI-powered workflow systems.
Rather than positioning himself as an AI influencer, Jonathan’s approach is grounded in execution: understand how a business runs, find where revenue or operations break down, and build systems that reduce manual work while improving consistency, speed, and adoption.
Builds with the mindset of a presales architect: technical discovery first, then systems that map cleanly to actual business outcomes.
Designs around the client’s existing stack, approval gates, and adoption realities rather than forcing a new software habit.
Help teams own their AI and automation layer, reduce admin drag, and create leverage where operations and revenue meet.
What makes Plinko different
Plinko helps businesses adopt AI in a way that is practical, owned, and operationally useful.
Implementation over hype
Instead of selling broad AI ideas, Plinko focuses on designing and deploying systems that actually run inside the day-to-day business.
Owned environments
Private AI harnesses, assistant lanes, and workflow systems are built around control and long-term usability, not platform lock-in.
Business-side outcomes
The work is strongest where better lead handling, cleaner workflows, stronger pipeline visibility, and lower manual overhead matter most.
Solutions engineering background
Jonathan’s background includes pre-sales architecture, technical discovery, proof-of-value demos, and solution design across B2B SaaS and automation engagements. That mix is a big part of why Plinko’s work tends to land in the space between technical feasibility and commercial practicality.
Instead of treating automation as a one-off build, the work is scoped so revenue teams can sell it, operators can run it, and stakeholders can understand the business case behind it.
Enterprise and regulated-context fluency
Alongside Plinko, Jonathan’s work in enterprise content management and integration-heavy customer environments adds another layer of architectural discipline — especially around documentation, adoption, security considerations, and requirements gathering in more complex accounts.
That means the Plinko approach is not just fast-moving startup experimentation. It is informed by the habits needed to scope and communicate systems clearly for serious teams.
What clients come for
- Stronger sales infrastructure behind revenue generation
- Less repetitive sales and administrative work
- Better lead research, enrichment, and qualification
- Clearer pipeline visibility and workflow accountability
- A way to scale output without hiring a full ops department first
What Plinko builds
- AI audits and workflow assessments
- Systems architecture and implementation planning
- Private AI assistant setup
- Multi-agent workflow deployment
- Sales and operations automation
- Ongoing refinement and optimization
How Plinko tends to work with clients
From readiness and strategy through implementation and ongoing refinement.
Assess
Map how the business actually runs, where repetitive work accumulates, and where AI can improve throughput without creating more complexity.
Design & deploy
Build the private system, connect the right tools, define assistant roles, and make the workflows operationally useful.
Refine
Improve performance over time, close reliability gaps, and evolve the operating layer as the business grows.
More than services. A command layer for modern business.
The long-term vision behind Plinko Solutions is bigger than service delivery alone. It includes a Hermes-powered business command center that brings voice interfaces, agent orchestration, KPI visibility, workflow execution, and decision support into one controlled environment.
The goal is not to make companies more dependent on software. The goal is to give them a clearer operating system for how small and mid-sized teams can run with AI.
If your business is exploring AI but needs a cleaner operational path, start here.
Plinko Solutions helps turn scattered AI interest into working infrastructure that supports execution, sales follow-through, and day-to-day operations.