Four doors in.
One way of
working inside.
Most firms either sell you a deck or sell you code. We do both, scoped, dated, and priced, because the gap between judgment and delivery is where the vast majority of AI programs quietly die.
Not sure where to start? Tell us where you are.
Three questions. We’ll point you at the engagement that fits. Request a call with our team and we’ll carry your answers into the thread.
We’d start with Diagnose.
Given where you are, the highest-leverage move is a 2–4 week fixed-fee diagnostic. You walk away with a board-ready brief and a ranked shortlist, whether or not we continue together.
Design×Data.
Productized as a 30-day pack.
Most AI programs fail because they're either data without design (an analytics deck no one acts on) or design without data (a prototype no one trusts). The AI Success Pack fuses both into a fixed-fee, 30-day engagement that ends with shipped output, not a slide review.
The Design Side
Workflow mapping, decision-mode UX, and the human-in-the-loop ergonomics that decide whether AI gets adopted or quietly deleted from the workflow.
The Data Side
Metadata fabric, retrieval architecture, and evaluation harness. The plumbing that decides whether the AI gives the same answer twice in a row.
Every Ariana engagement starts the same way: we listen before we pitch. Over two to four weeks we run a structured discovery, 8–12 interviews with leaders and frontline operators, a full stack and data-flow audit, a shadow-AI inventory, and a risk map the board can actually read.
You come out with a ranked, defended shortlist of the three bets that will move revenue or margin in the next 12 months, and a clear view of which ideas to kill. Every number is traceable. Every recommendation has a named owner, a cost, a timeline, and a way to know if it's working.
This is the deliverable that pays for itself before anything else ships. Clients routinely tell us the most valuable output was learning what not to build.
Board-ready brief
A 12-page document written for your board, not your intern. Problem, ranked options, risk, recommendation.
Opportunity register
Top-3 bets ranked by ROI, time-to-value, and implementation risk. Each with a named owner and a kill trigger.
Shadow-AI inventory
Every AI tool in use across the org, official or not. Who's using it, what data flows where, what it costs.
Risk & governance map
Regulatory exposure, vendor concentration, audit gaps. Sized for your industry, healthcare, financial services, retail, logistics.
12-month roadmap
Month-by-month sequencing. Dependencies, decisions, budget envelope, hiring needs. Calibrated to your capacity.
Read-out with your team
A working session with your leadership. Not a presentation, a conversation that ends with decisions and owners.
They killed our two worst ideas in week one. By the end we had a board pack, a ranked roadmap, and the political cover to actually move.
We are opinionated about how work gets done. Two-week sprints. Production code from week two. No black-box deliverables, your engineers pair with ours, so whatever we build, you can run, change, and extend the day we leave.
A typical Build engagement ships one flagship capability, an agentic workflow, a customer-facing assistant, a pricing or underwriting model, plus the governance, evaluation, and training wrapper around it. Because the wrapper is usually what determines whether the thing survives contact with your real business.
We write the prompts, the evals, the guardrails, and the runbook. We sit in your Slack. We show the work every two weeks in a 45-minute demo your CFO can watch without a translator.
Production systems
Agents, workflow automations, retrieval pipelines, deployed into your environment, behind your SSO, on your cloud.
Evaluation harness
Automated tests for correctness, safety, and cost. Regression suites that catch drift before a customer does.
Governance pack
Policy templates, approval workflows, audit logs. Shaped for your regulator and your legal team's appetite.
Training & enablement
Role-specific playbooks for the people who'll use the thing. Fluency, not fear. We measure adoption, not attendance.
Runbook & handoff
Every decision documented. Every prompt version-controlled. Your team owns the keys from day one.
Biweekly exec demo
45 minutes. Working software. No slides. Your board can drop in any week and see real progress.
Production code in week two, not slides. The biweekly demos kept everyone honest, including us. Adoption hit 80% inside a month of go-live.
The quiet truth of AI work is that the model you launched isn't the model you're running six months later. Providers swap underlying weights. Prompts rot. Data shifts. A chatbot that was 94% accurate at launch is 71% by July, and nobody notices until a customer on Twitter does.
Run is how we stop that. A small, named team, staff-level engineer, an evals lead, a governance partner, embedded in your org, operating your AI systems the way you'd operate any production service. Monitoring. Iteration. Incident response. Monthly exec readout with the numbers your CFO and CISO both need.
Clients who run with us for 12+ months see their systems get measurably better over time, more accurate, cheaper to run, and more trusted by their own people. That's the whole point.
Drift & accuracy monitoring
Live dashboards. Alerting on the metrics that matter, not the vanity ones.
Prompt & model iteration
Continuous A/B of prompts, models, and retrieval strategies. Ship what wins, revert what doesn't.
Spend & unit economics
Token cost by feature, by team, by customer cohort. Finance never has to ask twice.
Exec readout & board pack
Monthly one-pager. Quarterly board-ready deck. Plain language. Numbers you can defend.
Incident response
24-hour response SLA on production issues. Root-cause write-ups your team gets to keep.
Capability expansion
Every quarter we propose, and scope, the next capability. You decide. Nothing gets shipped without approval.
A year in, our accuracy is up 9 points and our token spend is down 31%. The monthly readout is the only deck my CFO and CISO both read end-to-end.
Some problems repeat. Résumé triage. Sales-call intelligence. Close-the-books automation. Underwriting pre-screen. Patient-intake summarization. We've built these enough times to know the shape.
Our vertical accelerators are productized versions of the work, scoped, priced, and pre-integrated with the platforms you already run (Salesforce, ServiceNow, Databricks, Snowflake). You get production value faster, and you still get our Run team around it.
AI résumé triage
Cuts recruiter screen time by 60%. Built on myndQ verification infrastructure. Bias-audited, SOC 2 ready.
6 weeks · fixed feeSales-call intelligence
Every call summarized, scored, and synced to Salesforce. Coaching prompts for managers, next-step drafts for reps.
4 weeks · fixed feeClose-the-books automation
Accrual drafting, variance narrative generation, audit-trail exports. Sits next to your ERP, doesn't replace it.
8 weeks · fixed feeOmnichannel journey ops
Stevie Award-winning CIM platform. Chat-based personalized digital service tied to your CRM and CMS.
10 weeks · fixed feeWe stood up résumé triage in six weeks on top of myndQ. Recruiter screen time dropped 60%, and our bias audit cleared first pass.
Questions we get before we sign.
If yours isn't here, write us. We'll answer it in plain language, usually same day.
Three weeks. Fixed fee.
A real answer.
Start with a Diagnostic. You walk away with a board-ready brief and a ranked shortlist, whether or not we continue together.
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