AI & Software Engineering
Consulting recommendations die in decks. We write software instead: AI assistants that answer the questions your team fields all day, agents that do the repetitive work, and internal applications that replace the spreadsheet everyone is afraid to touch.
We build the operating software your team is missing — assistants, agents and apps that go from prototype to production in weeks.
- AI assistants & agents for comp, ops and finance teams
- Custom operating apps on modern web stacks
- Workflow automation & outreach tooling
- AI readiness, governance & vendor selection
Assistants and agents grounded in your business
Built on Claude and grounded in your plans, policies and data. A comp assistant that answers rep questions from the plan document. An agent that classifies and routes disputes. A reviewer that checks a plan change against policy before it ships. Ask ackle on this site is one we built for ourselves.
Operating software, not slideware
Internal applications built on a modern, boring stack — TypeScript, a managed Postgres database, serverless hosting — with the security model written down before the first line of code. We prototype in days, put real users on it in weeks, and hand over a codebase your team can own.
Automation where the hours go
Outreach, follow-ups, document generation, data reconciliation, monthly reporting: if someone on your team does it by hand every month, we can usually make it a button — or make it disappear.
AI readiness without the hype
Where AI will pay for itself in your operation, where it won't, what data and governance it needs first, and which vendors to shortlist. A written point of view, not a workshop.
Fixed-scope entry points.
Each one is a real deliverable with a real end date. Most clients start with the first and stay for the rest.
AI Assistant Pilot
4 weeks · fixed feeA working assistant on your own content, with a small user group, usage reporting and a go/no-go recommendation.
Software Sprint
prototype → productionClickable prototype in week one, production application on your infrastructure by week six, documentation and handover included.
AI Readiness Assessment
3 weeksUse cases ranked by value and feasibility, data and governance prerequisites, vendor shortlist.
From this practice.
From Data Cleaner to AI Orchestrator: The Evolving Role of the Data Steward in MDM
AI now handles the 80% of data-quality work that used to define the steward's job. What the role becomes when the mundane is automated — and why RevOps benefits most.
The CEO-Level Conversation: Why Your SPM Strategy Must Be Built on AI-Driven Financial Modeling
SPM has outgrown the back office. Treated as a financial modeling engine — predictive quotas, capacity modeling, scenario planning — it becomes the CFO's most trusted forecast.
Ready for better results?
Tell us what's not working — a plan, a platform, a dataset or a process. You'll hear from a partner, not a sales rep, within one business day.