AI automation consulting and custom platform builds
For businesses that need something built from the ground up: not a SaaS integration or a ChatGPT wrapper, but a production AI system trained on your data and wired into the existing systems that run your business. These are AI automation consulting engagements with measurable outcomes, not open-ended retainers. Every engagement is led by Colter Mahlum personally. No account managers, no offshore handoffs, no junior developers.
According to Gartner, 73% of AI projects never reach production. The failure mode is almost always the same: a pilot that impresses the demo audience but can't handle real data, real edge cases, or real change management. We build for production from day one — defined success metrics, real data, and a deployment plan before the first model is trained. That applies to generative AI, process automation, and classical machine learning engagements equally.
What we build
- AI strategy and roadmapping. Prioritized AI investment plans sequenced by ROI, risk, and data readiness. We identify the 2–3 use cases most likely to ship and return value in under 90 days, then sequence the rest.
- Machine learning and generative AI development. Forecasting, classification, anomaly detection, NLP, computer vision, and generative AI models built for production. Trained on your operational data, validated on your edge cases, deployed into your stack.
- Data analytics platforms. Modern data warehouses, executive dashboards, and AI-powered reporting that connects to the data sources your team actually uses.
- Cloud AI integration. Model training and inference pipelines on AWS, Azure, or GCP with full MLOps: versioning, monitoring, automated retraining, and cost governance.
- Digital transformation and process automation. Replacing fragmented point solutions with a unified, AI-native platform that connects existing systems and reduces manual processing. Done for wealth management firms, healthcare operators, and manufacturers.
- Predictive analytics. Churn prediction, demand forecasting, risk scoring, equipment failure prediction, and customer lifetime value modeling. Built on your historical data, not benchmark datasets.
- AI security and governance. Compliance-grade guardrails for HIPAA, financial services, and aerospace requirements. Model documentation, audit trails, and bias testing designed to survive regulator review.
- AI employees (AxiomAI). Purpose-built autonomous AI agents — CMO, SDR, finance analyst, and more — that run inside your workspace and handle recurring tasks without human prompting. Browse available AI employees.
How engagements work
Every AI automation consulting engagement starts with a discovery call where we define the success metric, the data requirements, and the integration points. From there, a fixed-scope proposal is issued within 48 hours. We do not do open-ended retainers for build work: you get a defined output, a defined timeline, and a defined price. Take the free AI readiness assessment to see where your organization stands before we talk.
Consulting engagements include a discovery phase, architecture sign-off, build, and a 30-day hypercare period after launch. Pricing models are fixed-scope and transparent: you know the deliverables, timeline, and price before any work starts. See the pricing page for current rates across all consulting services.
Industries served
We have shipped AI automation consulting engagements across healthcare (multi-location operators, RCM automation, clinical analytics), financial services (RIA platforms, portfolio analytics, compliance automation), manufacturing (predictive maintenance, computer-vision quality control, supply chain optimization), and consumer apps (fitness AI engines, sports analytics, nutrition tracking). Each project improved customer experience and connected existing systems in ways that reduce manual work. See the full case study portfolio.
AxiomAI employees for recurring workflows
Not every AI problem requires a custom build. For recurring business workflows, the AxiomAI marketplace offers autonomous AI agents purpose-built for specific functions: AxiomCMO (AI visibility monitoring and content publishing), Scout SDR (outbound sales automation), Ledger AI (financial reporting and bookkeeping), and 30+ more across marketing, operations, compliance, and support.