Issue deflection 1
52%
of customer issues resolved by self-service bots, rising to 96% on simple queries.
apr 2026
Independent AI Advisor / Contractor · 2025 — present
Helping organizations think carefully about AI.
I help small businesses and nonprofits cut through the AI noise — figuring out what's actually worth trying, what to ignore, and how to get started without wasting money or time.
Filed underadvisory · strategy
Engagements3 — 8 weeks
Formatwritten, at your pace
Capacity2 clients / qtr
Statusopen · Q3 2026
Rateon request
CARD 01 / 01REV. 04.26
§ 01The three ways
Three Things I can help with.
Answering customer questions automatically through AI — Saving your time
I help organizations design and implement chatbots for support, internal knowledge, and customer-facing FAQ. The integration is highly customized according to each use-case and technical stack.
- Pulling in what you already know. Your existing documents, FAQs, and policies, turned into something a bot can actually use.
- Getting accurate answers. Making sure the bot doesn't make things up, and knows when to say “I don't know”.
- Testing before it goes live. A simple way to check if the bot is actually helping before your customers see it.
- Knowing when to hand off to a human. So nothing important falls through the cracks.
What well-built can bots do
Independent
research
research
Response time 2
55%
average reduction in first-response time across CX teams using AI tooling.
CSAT lift 3
+40%
of mid-sized businesses report a 40%+ jump in CSAT within 3 months.
Resolution time 4
11min → 2
Klarna's AI assistant cut average resolution from 11 minutes to ~2.
◦ Sources
- 1YourGPT, AI Customer Service Statistics 2026 — self-service bots resolve 54% of issues, up to 96% on simple queries.
- 2Freshworks CX Benchmark Report 2025 — 55% reduction in average first-response time for CX teams.
- 3YourGPT 2026 — 70% of mid-sized businesses see 40%+ CSAT jump within 3 months of AI adoption.
- 4NexGen Cloud / Klarna case study — average resolution time dropped from 11 min to ~2 min.
Is your organization actually ready for AI? — An honest look before you commit to anything.
A four-week diagnostic for leaders who suspect their team is further from (or sometimes closer to) production AI than the deck suggests. The work is to sit with your data, your platform, your security posture, and your people, and produce a written report with a roadmap, an evaluation rubric, and a list of things to stop doing. Works for small teams. You don't need a technical staff for this — that's kind of the point.
- Data. What you have, what's clean, and what an honest baseline looks like.
- Your tools and systems. Your tools and systems. What you're running on, what it costs, and whether it can handle more.
- Org & risk. Who owns what when the AI gets something wrong in front of a customer.
- Roadmap. Three things to try in 90 days. One to actually finish in the next few months.
Sample readiness scorecard
Data hygiene
7.2
Platform & infra
8.1
Observability
5.5
Risk & review
3.8
Talent & ownership
6.6
Composite5.9 / 10
Verdict: cautiously ready. Get one thing running in 90 days.
Nonprofit AI Strategy — small budgets and big stakes.
Nonprofits are being sold AI tools by every vendor right now. I work with executive directors and program leads to figure out what's worth piloting, what the failure modes are for the people you serve, and how to staff this without hiring an entire ML team you can't afford.
- Figuring out where AI actually helps. and which programs are quietly risky or not worth the effort.
- What you're being sold. Plain-language assessment of what's pitched to you.
- Donor-ready memo. A short document the board and funders can actually read.
- One small pilot. Scoped, measured, and reversible. No platform commitments.
Field note · Compass Pro Bono · 2024-present
In the 2024 engagement with a four-person volunteer team, the work was a Salesforce integration that eliminated four of every five manual data-entry steps for a Philadelphia non-profit. The 2025 engagement, as Deputy Project Leader for the Children's Scholarship Fund of Philadelphia, is a bigger challenge: scope, timelines, client communication, deliverables. The model or the integration is the cheap part. The honest conversation about what staff time gets reclaimed is the work.
Pro bono · Compass
— pk
§ 02How an engagement runs
Short, written, and honest about uncertainty.
Intake
A 45-minute call
We talk through what's going on, what you've already tried, and what a good outcome looks like. If I'm not the right fit, I'll say so and point you somewhere better.
Listen
Reading & interviews
I read what you send me & talk to a handful of people on your team — usually 3 to 5 short conversations. I'm trying to understand how work actually happens, not how it looks on paper.
Draft
A working document
You get a draft early. I'd rather you push back on something concrete than wait three weeks for a polished document that misses the point. We go back and forth until it reflects reality.
Hand off
Final memo & readout
You get a short document you can actually use — share it with your board, your funders, or your team. We do one final call to walk through it together. After that, it's yours. No ongoing fees, no dependency on me to make it work.
◦ open for Q3 2026
Not sure where to start? That's the most common situation. Send me two paragraphs and I'll tell you if I can help.
A short note is enough to start. Two paragraphs about the org, the question on the table, and a rough timeline. Replies are written, in plain language, and I'll tell you if it's not a fit.
BasedPhiladelphia, PA
Formatwritten, at your pace
Statusopen · Q3 2026
© 2026 Pratik Kubal · Independent AI Advisor / Contractor