Small and Mid-Size Business
AI that gives growing companies
the operating leverage of a company
twice their size.
Real revenue. Real competition. Teams expected to do more with less. We build AI for companies between $50M and $1B that need enterprise-grade systems without enterprise-sized complexity.
Why AI projects at growing
companies stall.
Enterprise software is built for year-long implementations. Consumer AI is built for individuals, not organizations. Companies between $50M and $1B sit in the middle. They have enterprise-level complexity, leaner teams, and little patience for projects that never reach production. That's where NextPhase.ai fits. We build secure, production-ready AI systems that deliver enterprise capability without enterprise overhead.
Talk to an SMB AI ExpertWhy standard AI approaches fail growing companies
- → Enterprise AI platforms are built for organizations with dedicated data teams and six-figure implementation budgets. At $50M to $1B in revenue, those buffers don't exist.
- → Off-the-shelf tools like Copilot and ChatGPT help individuals - they don't change how the company runs. When outputs live outside your CRM or Enterprise Resource Planning (ERP) system, the data stays siloed and the manual work continues.
- → AI that doesn't integrate with your systems of record isn't a solution. Your team will use it twice and abandon it.
- → A nine-month pilot at a $60M company doesn't survive the budget cycle. The window to prove value at this size is 60 to 90 days.
- → Growing companies don't have a data science team. AI that requires technical staff to maintain gets deprioritized the moment the business gets busy. The business always gets busy.
- → The highest-ROI AI investments for companies between $50M and $1B are almost always in four areas: pipeline intelligence, customer retention, financial operations, and reporting.
Core areas we build for growing companies
Revenue Operations and Sales Intelligence
Pipeline intelligence trained on your actual win/loss history. Lead scoring that reflects your buyer behavior, not generic benchmarks. Forecast accuracy your finance team can plan from.
Customer Success and Retention Automation
Health scoring built from product usage, support patterns, and engagement signals. Early warning before accounts go quiet. CS teams shifted from reactive to proactive.
Finance and Back-Office Automation
Month-end close in days, not weeks. Accounts Payable/Receivable (AP/AR) that does not require someone to touch every line item. Reporting that updates from your source systems, not rebuilt from a spreadsheet each cycle.
Operational Intelligence and Real-Time Reporting
One accurate view pulling from CRM, Enterprise Resource Planning (ERP), support, and finance. Leadership visibility into what is actually happening, without an analyst spending a day building the deck.
Running a growing company and evaluating AI? Start with a straight conversation.
Our AI Discovery engagement identifies your highest-ROI use case in 10 business days. Scoped for companies that need to show results in 60 days, not sign a multi-year platform contract.
Results in 60 days.
Runs without a data team.
Enterprise AI vendors sell to your CFO and deliver to your IT team nine months later. We scope every engagement to hit a measurable result in 60 days or less. HubSpot, Salesforce, QuickBooks, NetSuite, Zendesk: we integrate with your existing stack. No rip-and-replace. No dedicated data scientist needed to keep it running.
Talk to an AI Solutions ExpertWhat We Build
Revenue Operations and Sales Intelligence
Lead scoring trained on your actual win/loss data. Pipeline models that flag at-risk deals before the forecast is wrong. CRM hygiene automation so records stay current without relying on rep discipline. Outreach that adapts to real engagement signals. Competitive briefs automated before key calls.
AI handles research, data entry, and outreach. Reps stay focused on conversations and negotiations. Measurable win rate improvement typically shows within the first quarter.
Customer Success and Retention Automation
Health scoring built from your own product usage, support patterns, and engagement signals. Tuned to what churn actually looks like in your customer base. Automated early-warning workflows before accounts go quiet. CS co-pilot for meeting prep, renewal intelligence, and expansion signals.
Health scoring catches at-risk accounts 60 to 90 days earlier. CS teams shift from reactive to proactive, saving accounts that would have left at renewal with no warning.
Finance and Back-Office Automation
AP/AR automation with invoice matching and exception handling, so no one has to touch every line item. Month-end close compresses from 8 to 12 days down to 3 to 4, expense policy enforces at submission, and financial reporting connects to source systems and updates continuously.
Automated reconciliation and journal entry workflows cut the typical month-end close from 8–12 days to 3–4. The monthly spreadsheet rebuild goes away.
Operational Intelligence and Real-Time Reporting
One view consolidating CRM, ERP, project management, and support. Ready before the Monday meeting, not assembled during it. Automated KPI monitoring with anomaly detection so problems surface when they happen. Query your business data in plain English.
One number for pipeline, one for headcount, one for revenue, updated from source systems automatically without anyone rebuilding it by hand each week.
Proof From Production
Sales Teams Close More With the Same Headcount
B2B SaaS Company
Lead scoring trained on actual win/loss data. CRM hygiene automation. Competitive briefs generated automatically before key calls.
Churn Caught 60–90 Days Earlier
Professional Services Firm
Health scoring built from product usage, support patterns, and engagement signals tuned to the customer's specific churn patterns.
Finance Closes in 3–4 Days Instead of 8–12
Mid-Market Company
AP/AR automation with invoice matching and exception handling. Expense policy enforcement at submission. Financial reporting connected to live source systems.
One Accurate View of the Business
Growth-Stage Business
Consolidated CRM, ERP, project management, and support data. Automated KPI monitoring with anomaly detection. Natural language querying, no SQL required.
Start with one use case.
We start with the single highest-ROI use case, prove it in 60 days, then expand. No nine-month platform deployment. No dedicated data scientist required. Results first, then scale.