Halfday

Product

Company values, made usable at the point of decision.

Halfday structures organizational context so people and AI can distinguish what is known, what is assumed, what is constrained, and who must decide.

Architecture

One intelligence layer across every AI system.

Organizational intelligence persists while models and agent environments can change.

Context into decisions ↓ · Outcomes back into knowledge ↑

01

Organization

Your values, priorities, definitions, hard constraints, and decision rights.

Owned by your team

Product architecture, not a list of live integrations. Model use and deployment are agreed within each pilot.

Systems we build

Guidance, carried into daily work.

Automations inherit approved guidance: rules, boundaries, and approval points become CRM stages, required fields, and routing conditions.

Guided workflow with a human approval stepApproved guidance flows into intake, routing, a human approval gate, action in the CRM, and a recorded outcome that returns to the guidance.APPROVED GUIDANCEIntakeRequest arrivesRouteBy your rulesApprovalA person decidesActCRM updatedRecordOutcome keptOUTCOME RETURNS TO GUIDANCE

Approved guidance → outcome returns

  1. IntakeRequest arrives
  2. RouteBy your rules
  3. ApprovalA person decides
  4. ActCRM updated
  5. RecordOutcome kept
01

CRM design and build

Pipelines, stages, fields, and ownership shaped around how your team actually decides. Your existing CRM or a new one.

Output A working CRM that reflects your rules.
02

Workflow automation

Intake, routing, follow-ups, and handoffs that run without manual re-entry.

Output Automations that follow approved guidance.
03

Approval steps

Automation pauses where your guidance says a person must decide.

Output Named owners at every material decision.
04

Reporting

Outcomes captured so guidance can be reviewed and improved.

Output A record of what happened and why.

Managed agentic work

Agents that work by your rules. Run by us.

Select a role to see its inputs, rules, approval point, actions, and record.

Illustrative model · not a live dashboard

Input
New lead from your forms or inbox
Rules
Qualification criteria you approve
Person decides
Books the call. A person closes.
Actions
Picks up new leads · Qualifies against your criteria · Books the conversation
Evidence trail
Qualification reason saved to the CRM record

Before and after

Manual handoffs, or a governed workflow.

The same request, handled two ways.

  1. 01Request captured once
  2. 02Classified by approved rules
  3. 03Routed to the named owner
  4. 04Person decides at the gate
  5. 05Outcome and reason recorded
Ownership
Named at every material step
Traceability
Reason recorded with the outcome
Re-entry
Captured once

Qualitative comparison. No savings figures are claimed.

Applicable workflows

Begin where judgment matters.

01

Hiring

What should we optimize for when two strong candidates represent different strengths?

A principle and observable interview signals.
02

Feedback

When does candor serve the work—and when does it become careless?

Behavioral expectations with context and examples.
03

Prioritization

Which commitment should win when customer urgency conflicts with product integrity?

A documented tradeoff with an escalation owner.
04

Customer exceptions

When may a team depart from policy to protect a customer relationship?

An exception rule, hard boundary, and approval path.
05

AI escalation

Which decisions can an agent make, and which must return to a person?

Guardrails with fact states, stop conditions, and approval gates.
Discuss your workflow

The next move

Start with one consequential workflow.

Define the workflow, the guidance it needs, and the people responsible for the decision.

Request a Pilot