One method. Five places we apply it.
Every engagement starts the same way—diagnose readiness, prove the business case, then build only if it pays. Where we apply it depends on where your stalled value lives. Our deepest, most-proven work is in customer experience, so that's the front door.
Customer Experience AI
The Failure Mode
You deployed a chatbot. Deflection is 12%. Agents ignore its suggestions. Or: you have 500K tickets and 50 hours of calls a day, and your "insights" are stale manual tags. The vendor says it needs more data—you've been feeding it for six months.
What We Do
- Support automation: AI-human handoff flows agents actually trust, and knowledge systems that stay current
- Voice-of-customer intelligence: real-time insight pipelines, not three-month-old theme tagging
- Journey orchestration: unified profiles and next-best-action tied to business outcomes
- Measurement that tracks real efficiency, not vanity deflection rates
Sample Deliverables
- Support AI Readiness Audit (data quality, use-case viability, integration points)
- Agent Augmentation Architecture (suggestions, auto-responses, smart routing)
- VoC Data Unification & Theme-Detection design
- Performance dashboard (handle time, resolution rate, adoption)
Real Outcomes
28% lower agent handle time without changing the platform — Mid-market SaaS. $2.3M in revenue leakage identified from broken journeys — Enterprise Financial Services.
Is This You?
You have CX data and measurable efficiency goals, and you're willing to change processes—not just deploy tech. If you want a plug-and-play chatbot, we're not the right fit.
The same method, beyond CX
The readiness diagnostic doesn't care which function you're in. When the stalled value lives outside customer experience, we apply the identical Diagnose → prove → build (or advise against) method to these domains.
Operations & Process AI
The Failure Mode
Manual, repetitive back-office work is eating headcount, but the AI budget went to the flashy customer-facing pilot. Research consistently finds back-office automation has the highest ROI and gets the least attention.
What We Do
- Map high-volume, rules-heavy workflows and score them for automation ROI
- Decide AI vs. RPA vs. "just fix the process" honestly—not everything needs a model
- Design human-in-the-loop checkpoints for anything with financial or compliance risk
- Build the measurement to prove the time/cost saved is real
Is This You?
You have repetitive, high-volume processes and the data trail to support them. If you're chasing an AI headline rather than an operational number, we'll tell you.
Data & AI Readiness
The Failure Mode
The model isn't the problem—the data is. It's siloed, inconsistent, or locked behind IT tickets, and every pilot quietly dies on data wrangling no one scoped. This is the single most common reason AI initiatives stall.
What We Do
- Audit the data your target use cases actually depend on
- Identify the cleanest, most accessible source to start with—no boiling the ocean
- Design the access, quality, and governance work that has to come before any build
- Tell you plainly when "fix the data first" means not buying AI yet
Is This You?
You suspect your data isn't ready and want an honest read before spending on tools. This is the dimension our readiness assessment scores first.
Productivity & Employee AI
The Failure Mode
You bought everyone licenses to an AI assistant. Usage spiked for two weeks, then cratered. Adoption—not access—is the real problem, and no one owns it.
What We Do
- Identify the specific workflows where an internal copilot actually saves time
- Design knowledge tools grounded in your content, with guardrails against confident wrong answers
- Build the adoption and change plan that turns a pilot into a habit
- Measure productivity impact honestly, not by license counts
Is This You?
You want employee AI that sticks, and you're willing to invest in adoption, not just tools. If you want seat licenses with no change plan, you don't need us.
AI Strategy & Governance
The Failure Mode
You're on your third failed RFP. Every vendor claims they do everything. The board wants an AI position and a risk answer, and you're stuck between build vs. buy with no neutral guide.
What We Do
- Prioritize use cases by ROI and readiness—where to start, not where vendors want you to
- Navigate vendor selection by category, not commission (we take no referral fees)
- Stand up governance mapped to recognized frameworks (see Responsible AI)
- Build a phased roadmap that delivers in 90 days, not 18 months
Sample Deliverables
- AI Readiness Assessment & Roadmap
- Vendor Landscape Analysis & Recommendation (category, not product)
- AI Governance Framework mapped to NIST AI RMF / ISO 42001
- 90-Day Implementation Plan with clear success criteria
Real Outcome
From 3 failed RFPs to live in production in 90 days — Enterprise Healthcare.
Is This You?
You're ready to invest but don't know where to start, and you want someone who won't upsell their preferred vendor. If you've already picked a platform, hire their services team.