Fireside AI Workflow Transformation Sprint

Turn one costly workflow into a governed AI-assisted pilot

Fireside helps operations-heavy companies redesign one high-value workflow and launch a working pilot in six weeks—so you can test business value before committing to a larger implementation.

one-workflow-pilot
$ baseline business outcomemeasurable
$ pilot human + AI workflowsix weeks
$ govern sensitive actionshuman-approved
A Clear Offer Hierarchy

Start with the workflow and scope that fit your operating problem

The flagship sprint takes a qualified workflow through a working pilot. The two tailored audits help specific operators find and frame the right workflow first.

AI Workflow Transformation Sprint

Flagship offer for operations-heavy teams

Redesign one high-value workflow and launch a governed AI-assisted pilot in six weeks, with evaluation controls and a practical production roadmap.

Six-week fixed-fee engagement

AI Morning Ops Audit

Tailored entry for dispensary operators

Identify the source-backed morning workflow, operating signals, and approval boundaries worth testing before deeper implementation.

Market-specific entry offer

Revenue Leakage Audit

Tailored entry for local service businesses

Find the recurring follow-up, scheduling, estimate, review, or invoice workflow where a focused AI-assisted change could matter most.

Market-specific entry offer
The Operating Problem

A high-value workflow is stuck between manual work and an AI demo.

Fireside brings workflow strategy, engineering, integration, evaluation, governance, and change management into one bounded engagement.

The workflow crosses too many tools

Critical work moves between people, spreadsheets, email, SaaS tools, and internal systems without one reliable operating path.

Delay and rework are measurable

Missed follow-up, manual handoffs, avoidable errors, slow decisions, and weak visibility create real operational cost.

AI experiments have not become operations

Promising demos stall when data quality, integration, evaluation, security, ownership, and approval rules are left unresolved.

Six-Week Sprint

From workflow baseline to governed pilot and production decision

The promise is a working pilot and an evidence-backed roadmap—not a guaranteed enterprise-wide production deployment.

01

Align on the outcome

Choose one workflow, one accountable owner, a baseline KPI, and the measurable business outcome the pilot must test.

02

Map the workflow and risk

Document the current handoffs, data, responsibilities, constraints, AI opportunities, and decisions that must stay human-approved.

03

Build and evaluate the pilot

Redesign the human-plus-AI workflow and test a working pilot with representative or production-safe data against agreed criteria.

04

Decide the production path

Deliver security, integration, and governance requirements plus a 90-day roadmap and a fixed-scope proposal when continuing is justified.

Bounded Scope

Small enough to finish. Important enough to measure.

  • One high-value recurring workflow
  • One accountable business owner
  • Usually two or three systems or data sources
  • One measurable business outcome
  • Human approval, evaluation, security, and governance built in

Sprint Deliverables

A pilot, controls, and a decision-ready roadmap

  • Business outcome and baseline KPI
  • Current workflow, data, and responsibility map
  • AI opportunity and risk assessment
  • Redesigned human-plus-AI workflow
  • Working pilot using representative or production-safe data
  • Evaluation criteria and approval controls
  • Security, integration, and governance requirements
  • 90-day production roadmap
  • Fixed-scope implementation proposal when the evidence supports continuing

Supporting Method

Daily Ops Brain keeps the pilot grounded in real operating decisions.

Daily Ops Brain is Fireside’s broader method for making trusted signals, responsibilities, recommendations, exceptions, and approval boundaries visible. The sprint applies that discipline to one high-value workflow.

Read the Field Study

Strategy plus implementation

Workflow strategy, AI implementation, product engineering, and integration stay connected from the operating problem through the pilot.

Evaluation and governance

Source quality, test criteria, security constraints, approval controls, and operational ownership are part of the design—not a late review.

Practical change management

The pilot is built around the people who run the workflow, with clear responsibilities, exceptions, and adoption needs.

What Comes After

Continue only when the pilot evidence justifies it

Production implementation and ongoing evaluation are scoped separately. AI product engineering is available for qualified buyers with a funded product initiative, but it is not bundled into the flagship workflow offer.

Bring one workflow to a
short fit call.

We will establish the workflow, accountable owner, urgency, data readiness, and governance constraints—then decide whether the sprint is a sensible paid next step.

The workflow and accountable business owner The operational cost and urgency Representative or production-safe data readiness Security, governance, and approval constraints

Fixed-fee sprint. Production implementation and ongoing optimization are scoped separately.