AI inside your CRM
Lead scoring, deal-risk signals, summarised activity, next-best-action — native to HubSpot, Salesforce, Zoho, or custom.
See howWe integrate AI into your CRM, email marketing, support, and document workflows — without rip-and-replace and without consultant theatre. Twenty years of production engineering, applied to what you already run.
SOC 2 Type 1 in progress GDPR-ready DPA 20 years in production Stanford, CA + Visakhapatnam, IN
Where AI delivers ROI fast
Lead scoring, deal-risk signals, summarised activity, next-best-action — native to HubSpot, Salesforce, Zoho, or custom.
See howSubject-line generation, audience segmentation, send-time prediction, on-brand copy at scale — without losing your voice.
See howTier-1 triage, ticket classification, knowledge-base answering, intelligent escalation — with humans firmly in the loop.
See howContract review, invoice parsing, PDF data extraction, classification at scale — trained on YOUR documents, not the open web.
See howOur deepest work
We’re shipping AI integrations live in HubSpot and Salesforce environments today — not slideware, not pilots. The patterns below are battle-tested in production:
crm.lead.enrich({
id: "lead_8821",
signals: [activity, email, call_notes],
model: "ues-score-v4"
})
→ score: 87 / 100 (high)
→ summary: 3-line activity digest
→ next_action: schedule_call
→ risk_flag: response_decay (4d)
Live · interactive · zero setup
Pick the kind of work you want AI to do for you. Each example runs the actual pattern we deploy for clients — lead scoring, ticket triage, document summary, email generation.
Pick a workload above to see the agent respond.
Who this is for
How we work
DAYS 01 — 07
We sit with your team, audit your CRM, email, support, and document flows, and identify the three integrations that will move the needle this quarter.
DAYS 08 — 21
One integration goes live for one team. Real data. Real users. Real metrics. Not a demo — the actual workflow improvement you came for.
DAYS 22 — 30
Measured outcome. Honest report. If it’s not delivering, we tell you. If it is, we plan the next three integrations on a schedule that fits your team.
Founder
The founder of UES has 25 years of production engineering and a BA + LLB. In an era when every AI deal goes through legal review, that combination is the difference between a stalled procurement and a signed contract.
Meet the founder →2006·
Founded — March 2006
20+
Years engineering in production
30·
Day proof-of-value model
2·
Continents · delivery from IN & US
Our principles
Your team picked HubSpot, Zendesk, Mailchimp for a reason. We integrate AI alongside, not on top of a graveyard.
Every agent we ship has observability, audit logs, cost monitoring and rollback — before the first user touches it.
Your data stays where you put it. Model choice (Claude, GPT, open-source, on-prem) is yours, with our recommendation.
AI token costs can spiral. We build hard caps, fallbacks and budget alerts into every system. No surprise bills.
We document, train, and walk away cleanly. Your engineers can take over — we’re not building a dependency.
AI is new. Engineering discipline isn’t. We bring two decades of production software practice to a domain where most vendors don’t have two years.
Proof of work
Every name protected under NDA. Every metric measured. Reference calls arranged after a mutual NDA.
Peer-review triage time cut 67% across 14 journals. Zero rollbacks in 8 months.
Read the case →HubSpot AI lead scoring outperformed manual SDR ranking by 2.3×. $1.1M attributed in quarter 1.
Read the case →Subject-line generation lifted open rates 24% across 1.4M monthly sends. Zero compliance violations.
Read the case →Questions we get
No. We integrate AI capability into the platform your team already uses — HubSpot, Salesforce, Zoho, Mailchimp, Klaviyo, Zendesk, Intercom, or custom. Your data, your UI, your team’s muscle memory. AI runs underneath.
It’s a fixed-scope engagement priced after the first call — we look at your stack, the integration we’re proposing, and your data shape. Most engagements fall in a range typical of one senior engineer for one month. We tell you the number before we start, and we don’t go over it.
Your data stays in your environment. We deploy into your cloud (AWS / Azure / GCP) or use no-retention API endpoints from major providers. We do not train on your data, do not aggregate it, do not share it. You own everything. We sign whatever DPA your legal team needs.
Every system we ship has per-request budgets, daily caps, caching for repeat queries, model-tier routing (cheap models for easy work, premium for hard), and budget alerts. Cost runaway is the most common AI-project failure — we engineer against it from day one.
Most clients don’t when we start. The first week of the 30-day engagement is exactly that — we sit with your operators, watch the work, and recommend the three highest-leverage AI integrations for your specific business. You decide which one to ship first.
Our case studies page documents three anonymized integrations with full metrics. Client names are protected under NDA, but we’ll arrange a live reference call once we’ve signed mutual NDAs.
Yes. The founder’s legal background means governance is built into every engagement — DPAs, SCCs, audit logs, data residency, EU AI Act classification. Our governance page documents the defaults.
Tell us your stack. We’ll tell you where AI moves the needle and where it doesn’t. No deck. Just engineering judgement.