Our internal agent runtime, deployed in your environment
Enterprise Agent Stack Setup
The sandboxed execution, secrets handling, policy layer, and observability we use internally, installed inside your own cloud with your compliance requirements met.
What this is
Teams that want agents running against internal systems hit the same wall: the security review. Where does code execute, what can it reach, how are secrets handled, who approved this action, and can you prove it six months later. We install a runtime that answers those questions before they are asked, inside your own cloud account, with your identity provider and your logging stack.
What is included
- Isolated execution sandboxes with network egress allowlists
- Secrets brokered at runtime, never written into prompts or logs
- Policy layer defining which agent may call which tool against which resource
- Complete audit trail: who, what, when, which model, what it cost
- SSO integration with your identity provider and role mapping
How we run it
Requirements and constraints
Compliance regime, data residency, identity provider, existing logging estate.
Provision
Infrastructure as code into your account. We never hold your production credentials.
Wire policy
Tool permissions mapped to roles, egress rules, and spend ceilings per team.
Prove it
Penetration style testing of the sandbox boundary plus a written security review pack.
Train and hand over
Administrator training so your platform team owns it fully.
What you receive
- Runtime deployed to your AWS, GCP, or Azure account
- Policy configuration and role mapping documented
- Audit log pipeline into your existing SIEM
- Security review pack for your compliance team
- Administrator training and operations runbook
- Typical duration2 to 4 weeks
- Indicative investmentFrom $12,000
- CategoryBuild
- Starts withFree written quote
Opens the quote form with Enterprise Agent Stack Setup already selected.
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Month one is refundable. If the first month does not land we return it. We would rather refund than carry a project neither side believes in.
The return
What this gives back, every month
Ranges, not promises. They come from published 2026 automation benchmarks and our own delivery data, and the audit re-runs them against your actual volumes before you commit anything.
Why buy it
The case for doing this now
The blocker is rarely the model
Teams that want agents against internal systems stall at the same gate: where does code execute, what can it reach, who approved this action, and can you prove it in six months.
Every team rebuilding this separately is waste
Sandboxing, secret brokering, policy, and audit logging are the same problem in every organization. Installing a proven runtime beats each squad inventing one.
Audit evidence is cheaper to design in than to retrofit
Producing the artifacts an assessor asks for is straightforward at build time and painful once fifty agents are already running.
Compared to the alternatives
What the same outcome costs elsewhere
Every option below solves some version of this problem. Here is what each one actually costs over twelve months.
| Your options | Upfront | Ongoing | Time to value | What you get |
|---|---|---|---|---|
| Build in-house | None | $23,000/mo for two platform engineers | 2 to 4 months | Two senior engineers for eight weeks |
| Commercial agent platform | Setup | $5,000/mo | 4 to 8 weeks | Per seat licensing, vendor lock in |
| Typical agency | $25,000 to $40,000 | Retainer | 6 to 12 weeks | Usually a reference architecture, not a deployment |
| deepaibots | $12,000 | Optional from $1,200/mo | 2 to 4 weeks | Deployed to your account, no per seat fee |
What changed
Why this is worth buying in 2026 and was not in 2024
The scope of this service moved with the tooling. These are the shifts that make the engagement materially better than the same brief eighteen months ago.
- 01
Model Context Protocol standardized how agents reach tools, which finally made a central policy layer practical instead of per integration bespoke work.
- 02
Sandboxed execution with network egress allowlists became the expected baseline in security reviews rather than an advanced control.
- 03
Regulatory attention on AI system auditability increased sharply, so the audit trail is moving from nice to have toward a procurement requirement.
FAQ
Enterprise Agent Stack Setup: your questions
Does any data leave our environment?
Only calls to the model providers you approve, over the endpoints you nominate. Everything else stays inside your boundary.
Can this satisfy SOC 2 or ISO 27001 evidence requirements?
It produces the audit artifacts those frameworks ask for. We are engineers, not auditors, so your assessor makes the final call.
What is the ongoing cost?
Your cloud spend plus model usage. There is no per seat license from us; optional support is a separate retainer.
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Get a fixed price for enterprise agent stack setup
The quote gives you a written scope and a fixed price. No obligation to proceed.