AI deployment & integration

AI Consulting

We design and ship AI agents into the platform you bought — scoping, training, and production deployment, handled by engineers who've done it dozens of times.

EngagementFixed-scope or retainer
Typical timeline3–4 weeks per use case
Starting at$12,000
TeamAI engineer + solutions architect
Book a consultation See pricing model
Starting at

$12,000

Scoped to your specific engagement

  • Senior specialists, not generalists
  • Fixed scope agreed before work starts
  • Full documentation & handoff
Book a consultation Talk to a specialist

Overview

Most teams that buy an AI-agent product still need help wiring it into their actual data and workflows. AI Consulting closes that gap: our team scopes the use case, trains the agent on your content, and gets it into production with monitoring in place — typically in four weeks.

Who this is for

  • Teams who bought an AI agent product but need it wired into real data
  • Companies with a specific, well-defined AI use case to ship
  • Organizations that need production monitoring, not just a demo

Who this isn't for

  • Teams still exploring whether AI is the right tool at all
  • Projects without a named data source to train against
  • One-off experiments with no path to production

What to expect — typical ranges, not guarantees

4 wks

Typical time to production

60%+

Target deflection for support/sales agents

2 wks

Hypercare window after go-live

100%

Code & training data ownership transferred

Our approach

01

Scope

Define the use case, success metrics, and data sources in a working session with your team.

02

Train

Ingest your knowledge base, past tickets, or CRM data into the agent's resolution logic.

03

Test

Shadow-mode testing against real traffic before anything goes live.

04

Deploy & monitor

Go live with dashboards and alerting, plus a two-week hypercare window.

What's included

Scoped use-case & success metrics document
Trained & tested agent in production
Monitoring dashboard & alerting setup
Two-week hypercare support window

Expertise & tooling

Who works on this

Senior AI/ML Engineer

Model selection, prompt/context engineering, evaluation

Solutions Architect

Integration design against your existing systems

Data Engineer

Pipeline work to get your data into the agent

Project Lead

Scoping, timeline, and stakeholder communication

Tools & technology

Anthropic & OpenAI APIsVector databases (pgvector, Pinecone-compatible)Retrieval-augmented generation pipelinesObservability (Datadog, Grafana, Sentry)

Engagement models

ModelScopeTimelinePrice
Fixed-scope deploymentSingle use case, defined success metrics3–4 weeks$12,000+
Ongoing AI retainerMultiple use cases, continuous tuningMonthly$6,500/mo+

Industries served

SaaSFintechE-commerceHealthcareMarketplaces

Example scenarios

Stack18's services practice is new — the scenarios below illustrate how an engagement like this typically plays out, not verified past-client results.

Illustrative scenario

AI support agent deployment

Mid-market SaaS platform

Trained a support agent on three years of ticket history; live in under two weeks, ahead of projected deflection targets by week three.

Illustrative scenario

AI sales agent integration

B2B software company

Connected an AI sales agent to the CRM and outbound sequences, meaningfully increasing qualified pipeline within one quarter.

Pricing model & timeline

Engagement

Fixed-scope deployment

Single use case, defined metrics

Starting at

$12,000

Scope, train, test, and deploy one use case

Timeline

3–4 weeks

Plus a two-week hypercare window

Final pricing depends on scope confirmed during a consultation — the figures above reflect typical starting points, not a fixed quote.

FAQ

Do I need to have already purchased a product on Stack18?

No — AI Consulting is available standalone, though most engagements build on a Stack18 purchase.

Who owns the resulting work?

You do. All code, training data, and configuration produced during the engagement are yours.

How do you choose which AI model to use?

We start model-agnostic and select based on your accuracy, latency, and cost requirements — often a mix of models for different tasks.

What happens if the agent gives a wrong answer in production?

Every deployment ships with monitoring, human escalation paths, and a hypercare window where we tune based on real traffic.

Can you train the agent on sensitive or regulated data?

Yes, with an infrastructure and access-control design appropriate to your compliance requirements, agreed during scoping.

Do we need our own data science team?

No — our engineers handle the data pipeline and training work. Your team stays focused on the business use case.

Pairs well with

Let's scope your ai consulting.

Book a free consultation — no commitment, just a clear plan and a real quote.

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