AI infrastructure + team enablement

Build an AI department your team actually uses.

Scope the infrastructure, workflows, training, and expert support required to improve how work gets done. Advisy helps your team prototype faster, then hardens the final mile for reliable production use.

01

Enable the team

Unlimited questions, guided prototyping, and practical training inside real work.

02

Harden the last mile

Your team can reach the first 70–80%. Advisy engineers help take the right tools to production.

03

Drive adoption

Every build gets an owner, workflow integration plan, training path, and usage review.

Planning targets vary by baseline, complexity, data quality, and adoption. Speed improvements are goals, not guarantees.

Our operating principle

Shelfware is the enemy.

We do not measure success by how many tools get built. We measure whether the tool becomes part of the team’s actual workflow, improves throughput, and keeps getting used after launch.

  1. MapObserve the real workflow and bottlenecks.
  2. PrototypeBuild with the operators who will use it.
  3. IntegrateConnect data, tools, permissions, and handoffs.
  4. AdoptTrain the team, assign ownership, and review usage.
Three starting points

Choose the operating level.

Each package is a configurable starting point. The estimator adjusts scope when delivery, integrations, departments, training, or support exceed the included baseline.

Initial scoping

Configure the engagement.

Tell us where work slows down, then tune the operating footprint. Your selections update the planning estimate and proposal summary in real time.

Business context
Delivery footprint

Use the highest complexity expected in the first delivery phase.

Production workflows in the first phase.

1
112

CRMs, inboxes, databases, document stores, or communication tools.

2
115

Distinct teams requiring mapping, permissions, rollout, and ownership.

1
110

Operators, managers, builders, and approvers included in rollout.

5
5100+

Live build, approval, integration, and operator-training sessions.

2
112
Managed enablement and support
Support windows are not reserved labor hours.

Every plan includes unlimited questions and anytime request intake. Hands-on engineering, training, review, and implementation draw from the included pooled expert hours below. Named specialists are accountable contacts, not full-time dedicated staff.

Engineering, workflow review, QA, integration, and hands-on enablement.

12 hrs
12100

Project leads and engineers who understand the account and escalation path.

1
14
QuestionsUnlimited
Workflow prototype cadence1 per quarter
Critical response target4 business hours
AccountabilityNamed owner + usage review
Every engagement

Infrastructure is only the beginning.

The value comes from connecting the system to real work, transferring capability to the team, and creating a dependable path from prototype to production.

01

Architecture + memory

Environment, data boundaries, identity, knowledge, memory, deployment, secrets, backups, and observability.

02

Workflow integration

Current-state mapping, integration design, approvals, exception handling, testing, owners, and adoption metrics.

03

Team enablement

Live build labs, operator training, documentation, approval guidance, and unlimited questions inside the selected support window.

04

Production hardening

Engineering review, QA, security, reliability, logging, change control, and support for the final mile.