Most enterprise AI never makes it past the pilot.
The technology works in a demo. The gap between that demo and a governed production system running on real data is where most initiatives stall. Four problems show up again and again:
The integration gap
Your CRM, ERP, ITSM, and data warehouse weren't built to be driven by an agent. Most of the real work in enterprise AI is fitting it to the stack you already run — not the model.
Pilots that never scale
A prompt that demos beautifully rarely survives contact with real data, edge cases, and load. Without someone owning the hard 20%, pilots stay pilots.
No governance, no trust
Leadership won't put AI near customer data or financial systems without access controls, audit trails, and human oversight they can prove to risk and compliance.
No measured outcome, no mandate
When you can't show what the first system saved or earned, there's no business case for the second. Unmeasured AI loses budget fast.
Enterprise outcomes come from disciplined delivery. Mapped integrations, a proven governance pattern, and a metric agreed before the build starts — that is what carries AI from demo to production.
AI agents for the work your enterprise runs on
We build production agents for the functions where manual effort and handoffs cost the most — embedded in the systems each team already uses.
Customer Service & Support
Deflect, triage, and resolve at scale.
Example builds- ·Ticket triage & routing
- ·Agent assist & knowledge retrieval
- ·Escalation & on-call paging
- ·QA on every interaction
Lives in: ServiceNow · Zendesk · Salesforce Service Cloud
Revenue & Sales Operations
Close the gaps between sales, success, and revenue.
Example builds- ·Lead & deal enrichment, scoring
- ·AE → CSM handoff automation
- ·Post-sale onboarding
- ·Expansion-signal & renewal-risk alerts
Lives in: Salesforce · HubSpot
Supply Chain & Operations
Automate the operational back-and-forth.
Example builds- ·Quotation & RFQ automation
- ·Pricing intelligence engines
- ·Order & fulfillment workflows
- ·Exception handling & vendor comms
Lives in: SAP · Oracle · NetSuite
Finance & Back-office
Take the manual work out of the back office.
Example builds- ·Document intelligence (invoices, contracts)
- ·AP / AR workflows
- ·Reconciliation support
- ·Reporting & compliance checks
Lives in: ERP · document stores
Built for how your industry actually operates
AI compounds when it's shaped to your domain — the workflows, systems, and constraints specific to your industry. We work across:
Banking
Service automation, document processing, and operations under strict audit and compliance requirements.
Insurance
Claims intake, policy servicing, and underwriting support with full traceability.
Education
Student services, enrollment, and administrative workflows that scale without adding headcount.
Hospitality SaaS
Onboarding, customer success, and revenue workflows for multi-tenant platforms.
B2B SaaS
Revenue operations, support triage, and lifecycle automation across the funnel.
Manufacturing
Quotation, pricing, and ERP-driven order workflows for production environments.
Don't see your industry? We take on enterprise engagements wherever there's strong technical fit. .
From AI strategy to governed production
A four-phase delivery model we run with every enterprise engagement. You always know what phase you're in, what you're getting, and how it's measured.
Map & Scope
We map where AI pays off and what it touches.
Deliverables- ·AI opportunity map
- ·Data & systems readiness assessment
- ·Prioritized roadmap with ROI targets
- ·Integration & risk review
Design & Prototype
We architect the agent and prove it on your real data before full build.
Deliverables- ·Workflow & agent architecture
- ·Integration plan
- ·Governance & guardrail design
- ·A working proof-of-concept
Build & Ship
We build to production standards and deploy into your stack.
Deliverables- ·Production agent
- ·Integrations with your systems
- ·Monitoring & audit logging
- ·Documentation and team training
Tune & Scale
We tune what's live and extend to the next workflow.
Deliverables- ·Performance monitoring
- ·Tuning cycles
- ·Edge-case handling
- ·A roadmap for the next function
From 21 days to 9 — post-sale onboarding, automated
How an agentic workflow cut post-sale onboarding time in half for a hospitality SaaS — and freed 15 hours/week of CS team time.
[ The Challenge ]
A hospitality SaaS company was losing 15+ hours of CS team time per week to manual post-sale onboarding. Closed-won deals sat in queue for 2–5 days before a CSM picked them up. Customer context was lost between AE notes, CRM fields, and Slack threads. By the time the CSM had the full picture, 1–2 weeks had already passed.
[ What We Built ]
An agent triggered by closed-won status in HubSpot that carries the deal all the way to a scheduled kickoff — context pulled, handoff doc written, CSM assigned, onboarding project created. Production-deployed in 3 weeks.
[ Results ]
Post-sale onboarding time
CS team hours saved
Reduction in customer time-to-first-value
“It freed up our CS team to focus on customer success — not customer setup.”
Agents your risk team can sign off on
An agent that touches customer data, financial systems, or core operations has to be built like infrastructure — not a prototype. Security and governance are part of every engagement, not an add-on.
Data protection
Encryption in transit and at rest, least-privilege access, and data minimization — an agent only ever touches the data and systems its job requires.
Access & identity
Role-based access, SSO integration, and environment isolation across staging and production.
Full audit trail
Every action an agent takes is logged, attributable, and reviewable — what it did, when, and why.
Guardrails & human-in-the-loop
Scoped permissions, approval gates on consequential actions, and kill switches. You stay in control of the agent.
Built to fit your existing compliance and risk processes — the audit trail and controls map to the reviews your team already runs.
What you get with neupilot
A partner, not a vendor
We stay from first pilot through production and beyond — not a hand-off-and-leave engagement.
Production-first
We build for what survives real data and real users. No demos that die after the meeting.
You own everything
All code, prompts, and workflows are documented and yours. No platform lock-in.
Outcome-aligned
We scope to a measurable result and prove value before you scale.
Built into your stack
Agents run inside the systems you already operate — CRM, ERP, ITSM, comms, whatever you use.
Governed by design
Security, audit, and human oversight in every build — not bolted on after.
How we work together
Three ways to engage, scoped to your environment. Pricing depends on systems, integrations, and scale — we'll scope it with you.
Pilot
Prove it on one workflow.
Includes- ·One scoped agent
- ·Staging deployment
- ·Validation against your real data
- ·Documentation + handoff
Best for: Validating before a broader commitment.
Production
Ship one agent to production.
Includes- ·Full build
- ·Production deployment in your stack
- ·30-day post-launch monitoring
- ·Documentation + team training
Best for: Teams ready to put a workflow into production.
Scale / Managed
Multiple workflows, managed over time.
Includes- ·2+ connected agents with cross-agent coordination
- ·Production deployment + ongoing monitoring
- ·Tuning cycles as workflows evolve
- ·A roadmap for the next functions
Best for: Enterprises automating across functions.
Engagements are scoped to your systems, integrations, and security requirements. Talk to us about what fits your situation.