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Services

Hands-on help, in your own tools.

Ten services, four ways to engage, all delivered inside your approved workspaces, under your policies, with human review built in.

01

Executive enablement

Closed-door sessions that give leadership an accurate, current picture of what AI tools can do, and a specific view of what to do next.

Executive AI briefings

Private briefings for executives, leadership teams, and boards on the current AI tool landscape.

  • What today's tools actually do well, and where they quietly fail
  • Where organizations are finding real leverage right now
  • Near-term risks: data handling, over-reliance, verification gaps
  • A pragmatic 90-day view of next steps for your organization

Ongoing coaching & office hours

Standing sessions that keep adoption moving after the initial work is done.

  • Recurring office hours for questions and working problems
  • Workflow tune-ups as tools and models change
  • New use cases pressure-tested before they spread
  • A steady cadence that builds capability, not dependence

02

Tool setup & training

Configuration and hands-on training in the tools your organization has approved, set up around your policies and your real work. These tools are where most teams start; the practice works with whatever model your organization needs.

ChatGPT training & configuration

Team training plus workspace configuration: projects, custom instructions, and data controls aligned to your policies.

  • Workspace and project setup with sensible data controls
  • Custom instructions tuned to roles and functions
  • Hands-on training with your team's actual work
  • Plan and license guidance as part of setup

Claude Cowork & Claude in Chrome

Setup and practical use of Claude's desktop and browser agents: where they help most, and where to draw the lines.

  • Cowork setup: connected folders, skills, and guardrails
  • Claude in Chrome workflows for research and web tasks
  • Sensible boundaries for agentic work in your environment
  • Team patterns for delegating and reviewing agent output

Codex setup & practical workflows

Practical configuration of Codex for technical and technical-adjacent teams, with review discipline built in.

  • Environment setup and task patterns that hold up in practice
  • Delegation habits: what to hand off, what to keep
  • Code review discipline for AI-assisted output
  • Clear boundaries: enablement, not production engineering

03

Custom builds

Purpose-built assistants and reusable assets, created inside your own approved workspace so your data, access controls, and administration stay with you.

Custom GPT creation in your workspace

Custom GPTs designed and built in the client's own approved workspace, never in ours.

  • Built under your accounts, your admin controls, your policies
  • Knowledge files and configuration you own outright
  • Documentation so your team can maintain and extend them
  • Nothing routed through third-party environments

GPT & agent instruction design

Careful instruction design for GPTs and agents: role, scope, tone, refusal behavior, and escalation paths.

  • Role and scope definitions that prevent drift
  • Tone and formatting standards matched to your organization
  • Refusal and escalation behavior for edge cases
  • Test cases so behavior is verified, not assumed

Prompting & reusable workflow templates

A library of prompts and step-by-step workflow templates written for your recurring work.

  • Templates for the work your team repeats every week
  • Written for your context, terminology, and standards
  • Organized so new team members can adopt them quickly
  • Maintained guidance as tools and models evolve

04

Applied work & assurance

Real deliverables produced side-by-side, with the workflow captured, and the verification habits that make AI output safe to rely on.

AI-assisted research, documents, spreadsheets & presentations

Working sessions that produce actual deliverables, with the method captured so your team can repeat it.

  • Research memos and briefing documents
  • Spreadsheet analysis and model support
  • Board-ready documents and presentations
  • The workflow documented, not just the output delivered

Output verification, human review & responsible data handling

The habits and checklists that ensure AI output meets your standard before it moves.

  • Verification routines matched to the stakes of the work
  • Human-review checkpoints that fit real workflows
  • Responsible data handling practices for AI tools
  • Clear norms for what never goes into a model

Scope, drawn clearly

Deliberately out of scope

This practice stays in enablement and adoption. For engineering and specialist domains, we work alongside your internal teams and qualified vendors. We don't pretend to replace them.

Custom API development

No bespoke API builds or custom software development.

Production integrations

No production system integrations or engineering deployments.

Legal advice

No legal counsel. AI policy questions of law belong with your counsel.

Cybersecurity audits

No security assessments or audits. Engage a qualified security firm.

Not sure which service fits?

That's what the scoping conversation is for. Describe the situation; you'll get a straight answer about what would help and what wouldn't.

Discuss an engagement Email info@1232ai.com

Replies typically within two business days.