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Wallfacer

Give an AI employee a defined job.

Start with work your team knows. An AI employee follows your instructions, uses your tools, and brings results and decisions back to your team.

These roles are examples. Adapt one to your company, or bring a different job.

Example roles

Software EngineerStarter configurationSales Development RepresentativeStarter configurationSupport AgentProposed configurationFinance Operations AnalystProposed configurationCampaign Performance AnalystProposed configurationCloud Operations AnalystProposed configuration

Find a starting point for your team.

Software Engineer

Starter configuration

An AI engineer on your development team.

  • Your repository conventionsFollows your standards and runs the required checks.
  • Review and correctionsWorks through findings before your team decides to merge.
Explore this role: Software Engineer
Pull request · ready for review

Use the shared email validator

− validateEmail(input)

+ sharedValidator.email(input)

Checks and review findings attached

Illustrative work example

Sales Development Representative

Starter configuration

An AI employee for your outbound sales.

  • Research before outreachQualifies each account and finds a verifiable fact for every pitch.
  • Your team sendsPrepares approved drafts and keeps the send record accurate.
Explore this role: Sales Development Representative
Outbound pitch · awaiting copy approval

Northwind Freight

Ideal customer fitQualified

Decision makers3 researched

Pitch copyApproval needed

Opening fact sourced. Your team approves and sends.

Illustrative work example

Support Agent

Proposed configuration

An AI employee for your support team.

  • Customer contextInvestigates using account history and your documentation.
  • Your response policyFollows approved guidance and brings exceptions to a person.
Explore this role: Support Agent
Complaint research · findings for review
“I was charged twice. Can you take a look?”

Example finding · refund decision needed

Two completed charges for the same order. Payment records attached; refund approval needed from your team.

Illustrative work example

Finance Operations Analyst

Proposed configuration

An AI analyst for your finance team.

  • Read-only reconciliationCompares invoices and payments without changing the books.
  • Evidence and follow-upsGathers supporting records and drafts next steps for your team.
Explore this role: Finance Operations Analyst
Reconciliation · exceptions found

Items needing a second look

Invoice / paymentMatched

Duplicate payment?Review

Missing invoiceReview

Source records linked. Books unchanged.

Illustrative work example

Campaign Performance Analyst

Proposed configuration

An AI analyst for your campaign results.

  • Read-only performance analysisCompares campaign results, spend, and audience trends.
  • Findings and questionsExplains what changed and what your team should investigate.
Explore this role: Campaign Performance Analyst
Campaign performance · read-only

What changed between campaigns?

Click-through rate · example comparison

Campaign A
2.4%
Campaign B
3.1%

Campaign B had a higher click-through rate. Check audience differences before attributing the lift.

Findings for your team · campaigns unchanged

Illustrative work example

Cloud Operations Analyst

Proposed configuration

An AI analyst for production incidents.

  • Read-only investigationExamines logs, metrics, and recent changes.
  • Findings for the ownerExplains likely causes and suggested next steps.
Explore this role: Cloud Operations Analyst
Investigation · findings for review

What changed before the alert?

  1. Recent deployment identified
  2. Error rate increased afterward
  3. Logs and likely causes linked for review

Investigation only · no production changes

Illustrative work example

We help set up your AI employee.

We work alongside your team to build the handbook and set up the AI employee around your standard operating procedures.

Onboarding is a paid, hands-on engagement. We do this work with your team rather than handing you a template to fill in.

  1. Write the handbook with us.

    Walk us through a job, share your SOPs, and show us an example of good work. We help turn those into the AI employee’s instructions.

    Your handbook
    • How the work starts
    • What good work looks like
    • Where your team decides

  2. Choose how the work gets done.

    Start with an editable default process or bring your own. Together, we set up the tools, checks, and approvals your team needs.

    • GitHub

      Issues

    • Linear

      Tickets

    • Monitoring

      Alerts

    Your handbook process

    The instructions, checks, and approvals for this job.

    Results back in your team’s tools

    Example sources. We set up the connections and handoffs around your team.

  3. Try it on your work.

    Review a result together and tell us what needs to change. We help refine the handbook and AI employee setup around your feedback.

    Review a real result
    Tell us what to change
    Refine the instructions together

Tell us about the work you want help with.

Bring a recurring job your team knows. We’ll talk through whether Wallfacer fits and how much setup support you need.

Talk about setup