Deploy your first production AI agent in as short as 4 weeks. We embed with sales, ops, finance, or support, build the workflow, integrate it with the software your team already uses, and train your team. Start with a 14-day prototype. If it does not pass the agreed outcomes, you do not pay.
One monthly price. We learn your business, choose one workflow, and start with a 14-day prototype. If it does not meet the agreed goal, you do not pay.
We look at how work gets done: where people wait, copy data, chase updates, miss leads, or repeat the same task. Then we pick the best place for an AI agent to help.
You get a working AI agent connected to the tools your team already uses. It handles repetitive work, shows what it did, sends edge cases to a person, and automatically improves from reviewed outcomes.
Built by AI and data operators with 8+ years across Silicon Valley startups. Boutique services firm focused on shipping agents to production, not selling decks.
Here 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 person, now run by software, supervised by humans. That is the shift, and most teams selling AI right now are not built for it.
The hard part is not getting an agent to work 80% of the time. The hard part is the other 20%. The edge cases. The retries. The judgment calls. The moments where a confident-looking output is quietly wrong and your customer is the one who pays for it. Without human review, retry paths, and recovery rules, you do not have an agent. You have a liability. OpenNash exists to bridge that last 20% safely, so the system can run 24/7 inside the software your team already uses.
The market is noisy right now. AI agencies selling snake oil. Strategy shops that sound technical without the depth to back it up. Hourly consultants stretching scope to fill a quarter. We do not sell that way. There is one monthly fee, one active workflow at a time, and a clear path from prototype to production. Once a workflow is stable, we move to the next one. If you stop, you keep everything we shipped.
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 prototype 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.
The reason this works is who is doing the work. Eight-plus years of data and AI experience inside Silicon Valley startups, shipping production systems on real customer stacks. Not a partner, not a deck. The person who scopes your workflow is the person who builds it and the person who keeps it running. You are not buying time. You are buying an agent that earns its monthly fee, and a team that compounds on top of it. That is the deal.
Audit the revenue path for missed response, stale follow-up, and slow qualification. Then deploy agents where speed changes the outcome.
| Workflow | Inbound consult intake after 6pm |
|---|---|
| Before | Inbound calls going to voicemail, leads cooling overnight |
| Agent role | Voice agent answers, qualifies, books to calendar |
| Human review | Attorney reviews booked consults daily |
| Measured | Calls answered faster, missed intake reduced, and booked-consult rate improved against the baseline. |
Find the repetitive work hiding inside finance, admin, and ops. Move routine processing to agents so people stay on judgment and exceptions.
| Workflow | Accounts payable invoice intake and PO matching |
|---|---|
| Before | Two AP clerks keying invoices full time, 11-day cycle |
| Agent role | Ingest invoice, match to PO, route exceptions only |
| Human review | Controller approves flagged exceptions |
| Measured | Multi-day AP cycle moved to exception review, with clerks reallocated toward controller work. |
Trace recurring coordination loops across teams and systems. Replace manual assembly, chasing, and reporting with auditable execution.
| Workflow | Weekly board pack assembly across CRM, ERP, ticketing |
|---|---|
| Before | Ops lead rebuilding the same deck every Friday afternoon |
| Agent role | Pull data, draft deck, preserve audit trail |
| Human review | Ops lead reviews and finalizes before send |
| Measured | Hours of weekly assembly moved to minutes of review, with the audit trail preserved. |
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 prototype 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.
Documented connections to every system the agent reads from or writes to.
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.
No autonomous high-risk decisions without a named human reviewer.
Every failure mode has a defined retry path or escalation route. The 20% does not break the 80%.
Test cases run on every prompt or workflow change. Regressions block the deploy.
Read, write, decision, escalation. Logged, queryable, exportable.
SSO and RBAC across the agent and its tools. Least privilege by default.
Prompts, workflows, integrations, test sets. All versioned. All rollback-able.
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.
SAP
Snowflake
Databricks
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, prototyped in 14 days. If the prototype does not pass the test cases, you do not pay.
Turn one painful workflow into measurable revenue, cost, or time savings in as short as four weeks.
Prefer email? hello@opennash.com
If you have been burned by AI consultants or agencies before, this is where you find out why OpenNash is different.
One workflow. As short as four weeks. One monthly fee. A production-grade AI agent your team actually uses, plus a system that gets better from reviewed outcomes.