We build AI systems and automation that hold up in production.
ScaleHardened designs and engineers knowledge assistants, support automation, custom software, and integration systems for businesses that need real engineering — not a demo, not a no-code prototype that breaks at volume.
What we build
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Services engineered
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Industries served
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Integrations supported
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Delivery phases
AI Systems
Knowledge assistants, customer support, and voice agents grounded in your actual data — not a model guessing from memory.
Automation
End-to-end process, API, and integration automation across the tools you already run — with real error handling, not a fragile happy path.
Custom Software
Internal tools, dashboards, and platforms built for how your business actually works, when off-the-shelf software forces a workaround instead.
Works with the tools you already run.
No rip-and-replace — we wire automation into the systems already running your business.
How we work
Six phases. No black box.
Every engagement follows the same discipline, scaled to the size of the project — see the full breakdown on the process page.
Discovery
Understand the actual problem
We start with the real workflow, bottleneck, or knowledge gap — not a tool. Discovery typically takes 3-10 days depending on scope and includes a review of your existing systems, documents, and process as they actually work, not as they're documented.
Architecture
Design before building
We scope the smallest system that solves the real problem, define data flow and integration points, and identify risks (especially anything touching payments, checkout, or sensitive data) before a line of production code is written.
Build
Iterative development with checkpoints
Regular review checkpoints against real usage, not a single reveal at the end. For AI systems, this includes explicit guardrail testing — what the system does when it doesn't know something, not just when it does.
Integrate
Connect to what you already use
Wired into your existing CRM, help desk, ecommerce platform, or internal tools wherever possible — with error handling and monitoring on every integration point, not just the happy path.
Trigger to delivery, running itself.
Every workflow we ship starts on a schedule, webhook, or event — pulls from the systems you already run, and lands where your team actually works.
Native workflows
Automated end to end — no manual handoff in the middle.
- Starts on a schedule, webhook, or event
- Pulls live data from the systems you already run
- Routes, notifies, and logs automatically
Triggers & destinations
Trigger
New support ticket comes in
Zendesk, every time a ticket is created
Source
Pull customer + order history
CRM and billing system, in real time
Process
Draft a grounded response
Checked against your actual docs — not a guess
Destination
Post to Slack for approval
A person reviews before anything goes out
No-code and code, mixed
Zapier, Make, and n8n where they fit — direct APIs and webhooks where they don't.
Grounded and audited
Every automated action is logged with a full audit trail — not a black box.
Human handoff built in
Escalates to a person when confidence drops, instead of guessing.
Everything you need to see, in one dashboard.
Internal tools built on the data and systems you already run — not another disconnected app your team has to check separately.
Real-time metrics pulled from your actual systems
Role-based access, not one shared login
Exportable reports — not just screenshots
Built on your existing data, no new source of truth
99.8%
Uptime
6
Active integrations
1.2s
Avg. sync time
0
Errors this week
Order sync
99.8% uptime
Inventory feed
99.5% uptime
Support queue
92.1% uptime
Billing export
100% uptime
What we build
Twelve services. One engineering standard.
Every service page answers the same questions honestly: what it is, who it's for, how it works, what it can't do, and what happens next.
Who we work with
Built for operators, not just IT departments.
Industry context changes what 'good' automation looks like. We scope every engagement against how your specific business actually runs.
Proof, not promises
Representative engagements.
Illustrative implementation patterns based on how we actually build — see our case study disclosure for why we don't publish named-client metrics.
Common questions
Frequently asked questions
AI systems and automation that run in production: knowledge assistants grounded in your documents, customer support and voice agents, business process automation, custom internal software, API integrations, AI-powered websites, and the operational automation layer around ecommerce, content, and SEO. If a project needs real engineering rather than a no-code demo, it's likely a fit.
Tell us what's broken or manual. We'll tell you honestly if it's worth automating.
No sales script — a real scoping conversation with the people who'd build it.