Deflect, assist, escalate — with AI that knows your policies.

We build AI support systems that sit on your real policies and tools, lifting CSAT while cutting AHT and cost per contact.

From RAG on your knowledge base to agent-assist copilots and full self-service deflection — grounded, auditable, and tuned to your SLAs.

Trusted by teams at

Shopify
Qonto
Leafworks

The mandate

Run a support operation where AI handles what it should, and humans handle what matters.

Not every ticket deserves a human. We classify, deflect, and resolve where policies are clear; and we copilot your agents where judgment is required — always with a trace, always with escalation.

What you get

  • Self-service AI trained on your actual policies, not generic FAQs.
  • Agent-assist copilot inside your helpdesk (Zendesk, Intercom, Salesforce).
  • RAG pipeline over policies, macros, knowledge articles, and past tickets.
  • Smart routing, intent classification, and escalation criteria your ops team owns.
  • Metrics: AHT, FCR, SLA, CSAT, deflection rate, contained cost per contact.
Pilot on one queue

Why it works

Why this approach wins.

01 · Principle

Deflection that doesn't infuriate users

We tune the bot to hand off fast and silently when it's unsure. Deflection rates go up; complaints about bots go down.

02 · Principle

Agent-assist that your agents actually use

Inline suggestions, policy lookups, and tone help — embedded in their workflow, not a new window. Adoption is the KPI.

03 · Principle

Policy changes propagate in hours

Update your knowledge source; the AI reflects it within a fresh retrieval cycle. No retraining, no prompt-patching.

Outcomes

The outcomes we commit to.

40–60%

deflection on L1

−35%

avg. handle time

+12pt

CSAT lift

3 wks

to first pilot

Awards

Proud moments.

Top 1% on Clutch Global

Top 1% on Clutch Global

Top AI Strategy Company 2025

Top AI Strategy Company 2025

Clutch Fall Champion 2024

Clutch Fall Champion 2024

Inc. 5000 Fastest Growing

Inc. 5000 Fastest Growing

Breakthrough of the Year 2019

Breakthrough of the Year 2019

Member of Forbes Tech Council

Member of Forbes Tech Council

Voice & Speech Recognition 2024

Voice & Speech Recognition 2024

Top Blockchain Company 2024

Top Blockchain Company 2024

Innovators of the Year 2019

Innovators of the Year 2019

GoodFirms Top Company

GoodFirms Top Company

Pain points

Do you recognize your team?

What's happening

  • Ticket volume spiking faster than hiring can keep up.
  • A CX leader asked: “why don't we have an AI for this?”
  • BPO costs ballooning; CFO wants a plan.
  • Agents quitting from repetitive L1 queues.

How it feels

  • Burnt out from firefighting seasonal spikes.
  • Anxious about bot failures ending up on social media.
  • Embarrassed by the gap between your AI demo and your live IVR.
  • Protective of CSAT — and scared to risk it.

Where it hurts

  • Hallucinated answers in customer-facing channels.
  • Knowledge base rot — bot quotes outdated policies.
  • No easy way to measure containment vs. escalation.
  • Agents ignoring copilots that add friction.
  • Vendor-lock to a single contact-center AI stack.

What we ship

Workstreams, real artifacts, measurable outcomes.

Every engagement decomposes into clear workstreams you can ship and measure. Here's the playbook for this segment.

Workstream

01

Self-service deflection

Build an AI channel that resolves clear-cut tickets end-to-end.
  • Intent taxonomy
  • Policy-grounded bot
  • Handoff rules
  • Dashboards
40–60% deflection

02

Agent assist copilot

Embed a helper in Zendesk/Intercom/Salesforce that shortens AHT.
  • Copilot UX
  • Policy retrieval
  • Macro suggester
  • Adoption tracking
−35% AHT

03

RAG on policies

Ground every AI answer in your current, versioned policy corpus.
  • Ingestion pipeline
  • Retriever
  • Freshness SLA
  • Audit trail
Policy-accurate

04

Metrics & ops

Instrument AHT, FCR, SLA, CSAT, and containment; run a weekly eval loop.
  • KPI dashboard
  • Eval sets
  • QA sampler
  • Weekly ops cadence
Measured lift

As seen in

Forbes
The Recursive
SVT
Breakit
Tech EU

After-state

What changes on the other side.

Self-service handles the easy half; agents handle the hard half faster. Every answer is policy-grounded and traceable. Scaling season doesn't mean panic hiring.

How it feels

In controlRelievedConfident with CFOProud of CSAT

What becomes possible

  • 01Absorb a 2× volume spike with the same headcount.
  • 02Re-allocate senior agents to retention and upsell.
  • 03Turn support data into a product-feedback engine.

Concerns, answered

The usual concerns — handled.

Concern 01

Our customers will hate talking to a bot.

Ours hand off fast and silently when unsure. We tune thresholds on your data and show you a full trace of every AI-only resolution.

Concern 02

Our knowledge base is a mess.

Fine — cleaning it is part of the engagement. We'll flag conflicts, gaps, and deprecated answers as a byproduct of building the retriever.

Concern 03

Legal won't let AI answer anything.

We start with read-only agent-assist — no customer-facing risk. Once legal sees the traces and guardrails, customer-facing scope expands.

Concern 04

We already pay for Zendesk AI.

Great — we'll audit what it's actually catching. Most teams need a layer on top, not a replacement.

Alternatives

Why us and not…

Zendesk AI / Intercom Fin

Strong baselines; weak on custom policies, audit, and pain-point tuning.

In-house bot teams

Heroic but slow. We bring the playbook and the evals.

Traditional BPOs

Linear scaling by headcount. We un-link volume from cost.

Founder & team

Senior humans,
AI-native craft.

100+

people trained

20+

companies transformed

9.4/10

avg. workshop rating

96%

AI adoption in 7 days

Talk to the founder

Mike Doroshenko

Product strategist and AI consultant with 10+ years of digital product strategy and AI transformation. Author of corporate training programs used by leading companies.

Supported by 15+ experts

from McKinsey, Google, and top tech companies.

Book a call with Mike
Mike — Founder of Vahue

Delivery outcomes.

Measurable results from products and AI systems delivered by Vahue.

Enterprise AIVahue case study

−27% TTR

Production NOC agents reduced repeatable incident resolution time by 27% while recording zero unauthorized execution in UAT and staging.

Exaware

Enterprise AI

Enterprise AIVahue case study

>90% automated

More than 90% of RFI responses were automated, moving turnaround from several days to a few hours without removing editing or audit history.

Global B2B Growth Partner

Enterprise AI

Enterprise AIVahue case study

Seconds, not hours

Every repair order could be scored in seconds at 75–80% agreement, while costly billing decisions remained behind human-defined confidence thresholds.

Amerit Fleet Solutions

Enterprise AI

Enterprise AIVahue case study

~10% → ~20%

An unstable scheduling voicebot doubled booking conversion from roughly 10% to 20% while becoming faster, less token-heavy, and easier to monitor.

Docplanner

Enterprise AI

AI-Native EngineersVahue case study

8 months → 6+

Five senior data scientists helped bring an eight-month NLP delivery down to just over six months and cleared inherited technical issues in about one month.

Retail NLP Delivery

AI-Native Engineers

AI-Native EngineersVahue case study

>95% accuracy

A classifier exceeded 95% accuracy, integrated through an API within days, and shipped with documentation for retraining on future data.

Consumer Email Startup

AI-Native Engineers

AI-Native EngineersVahue case study

Value from day one

Embedded specialists onboarded quickly and delivered models, workflow pipelines, deployment support, and ongoing production ownership across several business areas.

Sky

AI-Native Engineers

Team Training & ConsultingVahue case study

>30% adoption

The employee assistant reached more than 90% reported answer accuracy and more than 30% company-wide adoption across permissioned CRM and ERP data.

PioGroup

Team Training & Consulting

Team Training & ConsultingVahue case study

Run in-house

A cross-functional pilot, training, and rollout blueprint left the organization able to run, explain, and extend marketing-mix modeling independently.

Global Food Company

Team Training & Consulting

Team Training & ConsultingVahue case study

6-week roadmap

Several focused sessions converted clinical expertise and vendor distrust into a realistic product design, technical stack, cost range, and scalable roadmap.

Clinical Tools Company

Team Training & Consulting

Contact

We're here to deliver
 

Tell us where you are and what you're trying to ship. We reply within 24 hours with a diagnosis, a shortlist of quick wins, and the smallest next step we'd recommend.

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