OpenNash builds custom AI agents for customer support, back-office and operational work that runs your business. We automate it end to end inside your existing systems - secure, auditable, with human review where it matters.
We watch how your best people handle the workflow today: where they click, copy, wait, and waste time.
Then we choose the highest-leverage workflow and define what the agent must prove before launch.
We build the AI agent across your real operating stack: CRMs, portals, browser forms, APIs, dashboards, data warehouses, spreadsheets, and legacy systems.
If your team uses it to finish the work, the agent can learn that process, replicate the skill, and prove it against real test cases before automation.
We deploy AI with Zero Data Retention: model providers process prompts in memory only, do not train on your data, and delete requests after generating a response.
Human-in-the-loop review, continuous monitoring, and automated tests catch issues early. As your team reviews outcomes, the agent learns from real workflow feedback and keeps improving with the right guardrails in place.
AI only works when it has the right context. We audit your workflows, find the use cases that matter, and build agents with the evals and guardrails needed for production.
Built by engineers from
Meta
Snowflake
DatabricksHere is the honest version. The market is moving fast, away from chatbots and toward AI agents that actually take action. Done-for-you back office work. Operations that used to need a team, now run by software, supervised by humans. You may have tried off-the-shelf AI tools already. They can help around the edges, but they rarely fit the way your work actually gets done.
The hard part is not getting an AI workflow to work once. The hard part is making it reliable across real operations: incomplete requests, unusual documents, portal errors, approvals, exceptions, and judgment calls. OpenNash builds for that from day one, with test cases, audit logs, human review, and recovery paths, so the workflow can run safely inside the systems your team already uses.
That reliability also depends on business context. Your SOPs, systems of record, documents, policies, approvals, and tribal knowledge become the workflow's operating layer. If that context is stale, scattered, or contradictory, AI just makes faster mistakes. OpenNash helps clean, structure, and connect that context before and during the build, so each workflow gets more dependable over time.
Every engagement starts with a 14-day pilot at no charge. We scope one workflow with you, write down what working looks like in plain language, and ship the pilot against those test cases. If it does not work on day fourteen, you do not pay. We have priced the risk so you do not have to.
Audit the service path for inbox delays, missed requests, stale follow-up, and slow turnaround. Then deploy workflows where speed improves customer experience and retention.
| Workflow | Certificate intake and AMS update |
|---|---|
| Before | Inbox requests, policy checks, certificate prep, and AMS activity |
| Agent role | Checks requests, drafts certificate work, updates AMS, and routes exceptions |
| Human review | Account manager reviews exceptions |
| Measured | Same-day certificate handling with less manual inbox work. |
Find the repetitive work hiding inside finance, admin, and ops. Move routine processing to agents so people stay on judgment and exceptions.
| Workflow | AP invoice intake and PO matching |
|---|---|
| Before | Manual invoice entry, approval chasing, and mismatch review |
| Agent role | Matches invoices to PO and vendor records, then queues approvals |
| Human review | Controller reviews exceptions |
| Measured | Multi-day AP cycle moved to daily exception review. |
Trace recurring coordination loops across teams and systems. Replace manual assembly, chasing, and reporting with auditable execution.
| Workflow | Referral intake and document follow-up |
|---|---|
| Before | Missing fields, document chasing, and manual queue updates |
| Agent role | Checks documents, drafts follow-up, updates the queue, and routes gaps |
| Human review | Ops lead reviews exceptions |
| Measured | Backlog reduced; staff focused on patient coordination. |
We start inside each team, sales, ops, finance, support, and get honest about where the work actually lives. Then we build alongside your people, not over them, and stay through the rough edges.
Every engagement includes regular practical AI education, so the transformation is org-wide, not just a handful of automations.
We shadow sales, ops, finance, or support directly. By the end of the week, scope is locked and the outcomes that prove the agent works are signed off.
We build against the outcomes you signed off on. By day fourteen you have a working pilot running end-to-end on representative data - not yet production-grade, but enough to prove it works. If it doesn't hit the outcomes, you don't pay.
Real integrations, security review, error handling, monitoring, and test cases. The pilot proved it works. Now we make it reliable inside your existing software.
We don't leave at handoff. The monthly plan starts, your people get enablement, and we start scoping the next workflow once this one is stable.
Production-grade, running on your real workflow and integrated with the software your team already uses.
Cleaned, structured context across the systems the agent reads from or writes to: records, docs, fields, rules, and integration paths.
Approval gates and exception routes for anything that requires judgment.
Test cases the agent must pass before any prompt or workflow change ships.
Every action the agent takes, logged. Quality, speed, and ROI measured live.
Your team can operate, audit, and extend the system without us in the room.
Customer data is encrypted in transit and at rest, never used for training, and retained only as long as your policy allows. We support Zero Data Retention with major model providers and BAAs where regulated workflows require them. Prompts, workflows, integrations, and test sets are versioned and rollback-able.
Agents run in isolated customer environments. We support cloud and on-prem deployments for regulated teams in finance, healthcare, and other sensitive environments.
High-risk actions never run autonomously. Every sensitive decision has a named reviewer, approval path, and escalation record.
Every known failure mode has a defined retry path, fallback, or human escalation route. Edge cases are contained so the rest of the workflow keeps running.
We focus heavily on online and offline evaluations as part of CI/CD, so changes can be tested against real workflow behavior and regressions in AI behavior are caught before they reach production.
Reads, writes, decisions, tool calls, and escalations are logged, queryable, and exportable. SSO, RBAC, and least-privilege permissions govern agent access.
Production-grade AI agents built for your real workflows, integrated with the software your team already uses, with human review where judgment matters.
We get leaders and teams current fast: practical AI 101/201, hands-on agent setup, and a personal AI stack your executives can actually use every week.
We document the new way of working: what the agent handles, what people review, who owns each step, and how the system gets better over time.
Always-on AI employees that answer every inbound call, fill the calendar, and re-engage past customers across SMS, email, and web chat. Sub-15-second response, 24/7.
Always-on AI employees that process every invoice, audit every expense, and close the books month after month. Your team only reviews exceptions.
Build the list, enrich every contact, score and route every lead, run sequencing and CRM hygiene, draft proposals, flag at-risk renewals, and roll up forecast.
Ingest every document, validate every record, onboard employees, vendors, and customers, run KYC and compliance checks, triage tickets, and generate recurring reports.
We implement and manage personal agents for executives: OpenClaw or Hermes for delegated work, Claude Code, Cowork, Codex, and integrations with your calendar, email, docs, research, and reporting tools.
Full documentation, playbook, dashboard, and test cases. Regular practical AI education helps your team prompt, review, and improve every agent we ship.
Explore healthcare, finance, legal, insurance, CX, GTM, and operations workflows.
Inbound voice, SMS, email, and web chat handled around the clock. Books to your calendar, updates your CRM, and escalates the cases that need a human, with full transcripts and audit logs.
SAPSnowflakeDatabricks
Google Cloud
Stripe
HubSpot
ShopifySAPSnowflakeDatabricksGoogle CloudStripeHubSpotShopify
Jira
GitHub
Notion
Asana
Zoom
Zendesk
Linear
Figma
DiscordJiraGitHubNotionAsanaZoomZendeskLinearFigmaDiscord
PostgreSQL
MongoDB
Redis
MySQL
Airtable
Supabase
Mailchimp
Intercom
Dropbox
Google Drive
Gmail
CalendlyPostgreSQLMongoDBRedisMySQLAirtableSupabaseMailchimpIntercomDropboxGoogle DriveGmailCalendlyNo long-term contracts. No per-seat pricing. No consulting hours. One active workflow at a time, then move to the next once it is stable. Cancel or pause anytime after the pilot.
14-day risk-free pilotOne workflow, scoped together, piloted in 14 days. If the pilot does not pass the test cases, you do not pay.
Turn one painful workflow into measurable revenue, cost, or time savings in 4-8 weeks.
Prefer email? [email protected]
If you have been burned by AI consultants or agencies before, this is where you find out why OpenNash is different.
One workflow. Live in 4-8 weeks. One monthly fee. A production-grade AI agent your team actually uses, plus a system that gets better from reviewed outcomes.
Prefer email? [email protected]