AI acceleration for mid-market companies

Build an
AI-powered business.

Recurring work is absorbing capacity you already pay for, and it grows as you grow. Senior AI engineers and business leads work directly with your team, build production AI into that work in your environment, and stay responsible for it after launch.

45 minutes with our AI experts to find your highest-value opportunity and a practical next step. No preparation required.

AIHumanImpact
The problem

AI is easy to try and hard to put to work.

Your teams have tried the tools, and a pilot may have impressed in a demo. Meanwhile the recurring work keeps running on people, absorbing capacity you already pay for and growing as you grow. Putting AI to work changes who does that work.

Today
  • Email
  • CRM
  • Docs
  • Sheets
  • Slack
  • Calls

20+ hrs

of human glue every week

Six tools, tribal knowledge, and people copying between them to keep the work moving.

With AI agents
  1. 01Sources come in
  2. 02Agent does the work
  3. 03A person approves
  4. 04Written back

Daily

with approval where it matters

Same output, same approvals, same people accountable. The agent prepares the work and a person signs off before anything goes out.

Illustrative example of one recurring workflow.

What becomes possible

AI that changes what your business can do.

Put your knowledge to work

People and agents get answers grounded in your documents, policies, and records, with sources they can check.

  • Internal knowledge assistants
  • Policy and eligibility research
  • Project information retrieval

Take on complex work

Agents research, prepare, and carry out multi-step work across your systems, with people approving what matters.

  • Account research and outreach
  • Document review
  • Proposal preparation

Offer new products and services

AI built into the products and tools your customers and employees use, from search to decision support.

  • AI features in existing software
  • Research applications
  • Decision support
Client work

From recurring work to real results.

Marketing agency · Revenue operations

Personalized prospect research
across the revenue stack.

We connected HubSpot, Apollo, Clay, Exa, and Sheets into an AI research and preparation system inside the client's existing revenue operation. A person approves every message before it is sent.

How it works

  1. 1Account data from five systems
  2. 2Qualification against the client's criteria
  3. 3A personalized draft per prospect
“They're wildly more effective.”
Director of Corporate Marketing, comparing personalized outreach with earlier thematic campaigns
See the implementation
Two people working across laptops and notes at a shared desk
Approval queue
Account #1842 · LogisticsReview
Account #2210 · HealthcareReady
Account #0937 · DistributionReady
Securing Degrees · Scholarship access

Scholarship discovery and research,
built into the platform.

One request searches for scholarships, reads eligibility requirements, and prepares sourced records for administrators to verify and publish. Uncertain information is flagged for review.

How it works

  1. 1Discovery across sources
  2. 2Eligibility interpretation
  3. 3Source tracking
“Our secret sauce isn't the technology, but being tech-enabled lets me see what's going on. That transparency builds trust.”
Victoria, Founder, Securing Degrees
See the implementation
Rows of wooden lecture hall seats
Structured recordPending review
Award$5,000
Deadline15 Mar
EligibilityFirst-generation, 3.0 GPA
FieldNursing
SourceCited
Administrator verifies before publishing
How it works

Three steps from priority to production.

Every agent runs in your systems, with a person approving at the points that matter.

  1. 1

    Talk to an expert

    In 45 minutes our AI experts find your highest-value opportunity and agree a practical next step with you.

  2. 2

    Plan and build

    We agree scope and acceptance criteria, build in your environment, and train the people who will use it.

  3. 3

    Operate and expand

    We keep it reliable, measure the results with you, and add capabilities as the evidence supports them.

Controls built in, not added later.

Every system we build has the same control points, so your team can see what AI did and decide what it may do.

Illustrative architecture: one proposal-preparation agent and its control points
  1. 1RequestA request arrives with its documents
  2. 2Context retrievalRecords and rules pulled with sources
  3. 3Agent proposes a stepA draft, a check, or a tool action
  4. 4Control pointPermission checkEnforced before every tool action
  5. 5Person decidesHuman approvalRequired before sending or submitting
  6. 6Action and write-backResults written to your systems, with a trace
  • Runtime checksMissing information or a failed action stops the run and routes it to a person.
  • Ongoing evaluationReal test cases run on every change to prompts, models, or context.
  • TracesEvery step and source is recorded for review.
What you keep

You keep the work. We stay responsible for the system.

Nothing about this makes you dependent on us to run your own business. The decisions, the data and the systems stay yours.

See how Managed Operations works
Your data
It stays in your environment, under your access controls. We build where your systems already live rather than moving your business onto ours.
Your decisions
The work that needs judgment keeps a human in it. You set what an AI agent may do on its own and what comes to a person first.
Your systems
What we build runs in your accounts and your tooling. If we stopped tomorrow, it would keep running and your team could take it over.
Our responsibility
Monitoring, evaluation and improvement after launch, with a named owner and a measure you agreed to before we started.

No lock-in, no black box, and no requirement to replace tools your team already knows.

Resources

Learn what works before you build.

Guides, blogs and conversations from the team doing the work.

Visit the Resource Center
Start here

What could AI do
for your business?

Bring a business priority, a product idea, or an AI initiative that needs help. In 45 minutes, you leave with a practical next step.

Tell us what you want to make possible.

A priority, a product idea, or an initiative already underway.

Submit your details, then choose a time on the next screen.

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45 minutes
No prep required
A practical next step