A dedicated AI department, without the hire.

We find where AI will pay off in your business, build it safely, teach your people to build their own, and prove the return every month.

Book a free 30-minute call Assessment-led. Vendor-neutral. Measured monthly.

We configure the tools you already pay for

  • Claude
  • ChatGPT
  • Microsoft 365
  • Google Workspace
  • n8n
  • Make
  • Slack

About 2× more likelyto reach deployment with an outside partner than building alone, in MIT's 2025 study. Source

Four steps. Each one earns the next.

Nothing gets built before we've sat with the people who do the work.

  1. Opportunity assessment

    Interviews with your team, process maps, and an inventory of your tools, data, and current AI use.

    2–3 weeks
  2. Ranked readout

    Your top opportunities by hours, dollars, and risk, plus what not to build.

    One 60–90 min meeting
  3. Build and train

    Role agents, core workflows, and hands-on training for a power user on each team.

    90 days
  4. Your AI Department

    Check-ins with each team, everything maintained and monitored, and a monthly ROI readout.

    Monthly

Stop after any step and keep what you've received. The assessment report is yours either way.

Personal, Shared, Core.

Your people already use AI. We give that a safe lane, then harden what the business comes to rely on.

Tier 1

Personal

Employees build freely

Their own inbox, meeting prep, drafts, and research, on approved tools.

Tier 2

Shared

Co-built with Workspec

Routines a team depends on or that touch customers. Registered, with a named owner and approval steps.

Tier 3

Core

Built and owned by Workspec

Anything that moves money, writes to a system of record, or must never silently fail. Versioned, logged, monitored.

Everyone builds. We make what they build safe to depend on.

A routine moves up a tier when

1

Others rely on itA teammate, meeting, or report depends on its output.

2

It touches customersIt drafts, sends, or changes what a client sees.

3

Failure would hurtA silent miss would cost money, data, or trust.

Four agents watch your AI. A person makes the calls.

Every day, our agents review your AI operations and write a summary. A Workspec lead reads every one and decides what happens next.

Human in chargeWorkspec lead reviews every summary, approves changes, runs your monthly readout
OversightAI ManagerCatches failed runs and duplicate routines, and recommends what to build next.
KnowledgeKnowledge KeeperKeeps each team's knowledge base current and flags stale or conflicting docs.
ReadsYour AI Ops hub
00_AI-Policy
01_Agent-Registry
02_Agents + knowledge
03_Skills
04_Agent-Logs
05_ROI-Dashboard
MeasurementUsage and ROI TrackerTallies runs and time saved, and feeds your monthly ROI dashboard.
DiscoveryEfficiency ScoutSpots repetitive work that a routine or workflow could take over.
  • Agents read and recommend. They never change your systems on their own.
  • Humans approve anything external, money-moving, or irreversible.
  • Every build has an owner, a charter, and a log.

How we work

Use what you already pay for
Built-in AI in your existing software comes before anything new.
Configured, not custom
We write code only when it clearly beats a configured tool.
Vendor-neutral
We pick the platform that fits how your team works, not the one we prefer.
Proof every month
ROI on your own numbers, method shown. If something isn't moving a number, we change it or turn it off.
[Founder photo]

An engineer runs your AI department.

Workspec is led by Chase Parks, a senior AI engineer with a master's in computer science and years of building production systems in payments, healthcare, and AI.

You won't be handed to a junior team after the sales call, and you'll get an honest answer about what isn't worth automating.

Chase ParksFounder, Workspec

Find out where AI will actually pay off.

A free 30-minute call about how your business runs and where an assessment would focus.

Book a free 30-minute call