What we do
What's Next builds custom AI agents and automation solutions for mid-market companies across any industry, with a stated goal of getting production-grade systems live within eight weeks. Engagements begin with a two-to-three-hour discovery session to identify the highest-value operational opportunity, followed by a one-to-two-week roadmap design phase, a two-to-four-week execution sprint, and ongoing delivery of tailored AI solutions every two to four weeks thereafter. Weekly demos and post-launch support are included as standard.
Core AI and machine learning implementation work covers the design, development, and deployment of custom AI agents that connect directly to a client's existing data sources and internal tools, replacing manual, copy-paste workflows across operations, sales, and support functions. Automation consulting identifies where departments are losing time to repetitive tasks and replaces those processes with data-driven workflows, without requiring additional headcount. The team also handles the underlying data strategy and data engineering pipelines needed to make AI compound over time, including storage architecture and data infrastructure design.
For clients who need ongoing strategic support rather than a one-off build, the agency offers an embedded AI consultancy model functioning similarly to a fractional AI function: supporting team discussions, building a scalable AI roadmap, and advising on tool selection and governance. Technical consulting covers custom code, custom workflows, and local infrastructure builds, positioning the team as a technical partner from a single product feature through to a full platform. Systems integration work connects AI agents and automation layers to existing tools such as Zendesk, Linear, and CRM platforms via API development and integration.
Engagement shapes include fixed-scope projects (typically eight weeks to first delivery), ongoing retainers for continuous iteration, and initial workshop or sprint sessions for audit and roadmap work. Clients across ecommerce, IT services, hospitality, professional services, and sustainability sectors have used these engagements to scale tender volume, automate outreach to thousands of leads, and monitor large client portfolios without growing headcount.
Our approach
Discovery-first, then roadmap design, then execution. A structured path: (1) Explore: 2-3 hour session to identify AI opportunities; (2) Design: 1-2 weeks to build a roadmap; (3) Execute: 2-4 weeks scoping and building; (4) Deliver: production-grade agents every 2-4 weeks with weekly demos. Principles: Curiosity, KISS (Keep It Simple), Explore, Creativity, Fail Fast, Move Fast. Target 8 weeks from first call to live production agent.
Verified use cases
AI pilots built with freelancers or no-code tools demo well but never reach production.
Production-grade AI agents are delivered within 8 weeks and adopted by the team.
Revenue growth outpaces hiring capacity, creating an output bottleneck.
Automated agents increase throughput without adding headcount.
Operations and sales staff spend 25-plus hours per week manually moving data between systems.
Automated workflows eliminate repetitive data transfer and free up staff time.
Multiple AI SaaS subscriptions are running with no measurable results to show.
A custom agent replaces the SaaS stack at a fraction of the cost.
Scattered historical files make knowledge retrieval slow and inconsistent.
A research engine surfaces five years of documents in 30 seconds.
Sales teams struggle to scale outreach without proportional headcount growth.
AI-powered outreach reached 7,000-plus leads within days and grew pipeline by 40 percent.
Who we work with best
Mid-market companies across any industry that have attempted AI pilots internally (via n8n, Make, or freelancers) but failed to ship to production, or that face a growth ceiling where revenue is outpacing headcount. Common triggers include 25+ hours per week lost to manual data movement, a bloated SaaS stack with no measurable results, incoming AI Act compliance pressure, or a SaaS renewal where a custom agent would be cheaper. Typical sectors evidenced include ecommerce, IT services, hospitality, professional services, and sustainability.
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