---
title: "AI Agents engagement: scope, deliverables, SLA"
description: "A fixed-scope AI agents engagement, eval-gated before it ships. Full spec: offer, in and out of scope, deliverables, an eight-week timeline, and the SLA it runs under."
source: "https://www.kensink.com/engagements/ai-agents/"
canonical: "https://www.kensink.com/engagements/ai-agents/"
---
SERVICE · AI AGENTS · FIXED SCOPE

# Production AI agents, eval-gated before they ship.

We design an agent around one real job, wire it direct to the model with no framework lock-in, prove it against an eval suite you keep, and hand it over running in production.

Who it's for: Teams past the demo stage who need an agent that behaves the same on the thousandth run as the first, with an owner and a rollback path.

THE OFFER

Outcome

Agent in production not hours billed

Engagement

Fixed scope

Timeline

8 weeks

Investment

from $28,000 \+ optional care retainer

Handoff

Full source + ownership

[Request this service →](https://www.kensink.com/contact) [Book a scoping call](https://www.kensink.com/contact)

IN SCOPE

## What the engagement covers.

-   ✓One agent scoped to a single, measurable job
-   ✓Direct model integration, no orchestration framework
-   ✓An eval suite of 50 to 200 labeled cases with a ship gate
-   ✓Observability: latency, cost, and quality per route
-   ✓Up to 2 system integrations against your tools
-   ✓A runbook and one paired handoff week

OUT OF SCOPE

## What we would quote separately.

-   –A net-new data platform or warehouse build
-   –Unlimited integrations beyond the two included
-   –24/7 staffed on-call operations
-   –A net-new mobile or web front-end product
-   –Ongoing content or prompt authoring after handoff

DELIVERABLES

## What lands at handoff.

-   ✓The agent, deployed and running in production
-   ✓The eval suite, and the bar it must clear to ship
-   ✓An observability dashboard for cost, latency, and quality
-   ✓A runbook: how to operate, extend, and roll back
-   ✓Full source code with complete ownership
-   ✓One paired week where your team ships a change

TIMELINE · 4 PHASES

## 8 weeks, problem to production.

1.  01
    
    Weeks 1 to 2
    
    ### Scope and evals
    
    Pin the one job, write the eval set and the ship gate before any model code.
    
2.  02
    
    Weeks 3 to 5
    
    ### Build
    
    Direct-to-model agent on a typed, tested base, with observability from the first commit.
    
3.  03
    
    Weeks 6 to 7
    
    ### Harden and test
    
    Close the failure modes the eval set surfaces, and red-team the prompt boundary.
    
4.  04
    
    Week 8
    
    ### Ship and hand off
    
    Deploy with monitoring, a runbook, and a paired week so your team owns it.
    

SERVICE LEVELS

## The SLA this service runs under.

During the build and through the warranty window after handoff. This engagement defaults to Priority.

| Commitment | Standard | Priority |
| --- | --- | --- |
| First response | Next business day | Within 4 business hours |
| Critical issue triage | 1 business day | 2 hours |
| Production uptime target | 99.5% | 99.9% |
| Support hours | Mon to Fri, business hours | Extended, plus weekend on-call |
| Change requests / month | 2 included | Unlimited within retainer |
| Post-launch warranty | 30 days | 90 days |
| Named delivery lead | Shared | Dedicated |

ⓘ Standard ships with every fixed-scope build. Priority comes with a care retainer. Pricing is a starting range; final terms are set in the statement of work.

[Read the full AI Agents capability page ↗](https://www.kensink.com/ai-agents)

READY WHEN YOU ARE

## Bring one real problem.  
We'll bring the spec.

[Request this service →](https://www.kensink.com/contact) [All engagements](https://www.kensink.com/engagements)

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