Primary conversion offer
A focused, executive-led engagement delivered in two 15-day sprints that identifies the right AI opportunities, assesses process maturity, defines governance, estimates ROI, and leaves you with a first-agent roadmap.
Timeline
Sprint 1 · Days 1–15 · Discover & Assess
01
DAYS 1–7
Discover
Align and prioritize.
02
DAYS 8–15
Assess
Gaps and readiness.
Sprint 2 · Days 16–30 · Design, Quantify & Recommend
03
DAYS 16–22
Design
Workflows and controls.
04
DAYS 23–29
Quantify
ROI and impact.
05
DAY 30
Recommend
Roadmap and next steps.
WHY IGNA
The sprint produces eight concrete deliverables - not a deck of recommendations, but a practical, evidence-based roadmap your leadership team can act on immediately.
Sprint 1 · Days 1–15
Sprint 2 · Days 16–30
Process-first adoption
IGNA starts with the workflow, the process maturity, the risks, and the expected outcome - not with the model. Every deployment is grounded in operational reality.
Governed AI agents
Approved data, role-based access, human review, audit trails, and escalation rules are core to the IGNA operating model - not add-ons applied after the fact.
Enterprise integration
Connect to documents, systems, APIs, knowledge bases, workflows, and legacy applications - where appropriate and with the right governance controls in place.
Process-first adoption
IGNA starts with the workflow, the process maturity, the risks, and the expected outcome, not with the model. Every deployment is grounded in operational reality.
Governed AI agents
Approved data, role-based access, human review, audit trails, and escalation rules are core to the IGNA operating model, not add-ons applied after the fact.
Enterprise integration
Connect to documents, systems, APIs, knowledge bases, workflows, and legacy applications, where appropriate and with the right governance controls in place.
Why this works
The sprint gives leadership a structured, low-risk way to move from AI interest to an operational decision, delivered as two 15-day sprints rather than one open-ended exploration. Sprint 1 aligns the organization and assesses readiness. Sprint 2 designs the workflow, quantifies the ROI, and delivers a governed roadmap. Every stage has a clear deliverable and a decision point, so investment only moves forward when the evidence supports it.
30
Days from first conversation to a practical first-agent roadmap
8
Concrete deliverables produced at every stage of the engagement
5
Governance gates using the 5P Framework before any pilot begins
0
Open-ended exploration; every stage has a decision point and a defined outcome
Process-first adoption
IGNA starts with the workflow, the process maturity, the risks, and the expected outcome - not with the model. Every deployment is grounded in operational reality.
Governed AI agents
Approved data, role-based access, human review, audit trails, and escalation rules are core to the IGNA operating model - not add-ons applied after the fact.
Enterprise integration
Connect to documents, systems, APIs, knowledge bases, workflows, and legacy applications - where appropriate and with the right governance controls in place.
Deployment methodology
Most AI projects fail somewhere between "the demo worked" and "it is actually running in operations." The 5P Framework is how IGNA closes that gap - five stages, each with a defined deliverable and a decision point.
CFO
Staged investment with evidence before scale. Each decision point protects the budget.
CIO
Controlled path from concept to supportable production with clear data and audit expectations.
COO
Workflow clarity and operational readiness before any automation goes live on the floor.
Compliance
Documented decision points and governance artifacts at every stage before production.
Participation guide
Executive Sponsor
Sets the mandate, removes blockers, and receives the final readout.
Business Process Owner
Defines the workflow, pain points, and what success looks like operationally.
IT Lead
Assesses system readiness, data access, security requirements, and integration paths.
Data / System Owner
Identifies approved data sources, access controls, and integration constraints.
Compliance / Risk Stakeholder
Reviews governance requirements, regulatory constraints, and acceptable use policies.
Selected Department Users
Provide ground-level workflow insight and validate agent recommendations before pilot.
After the sprint
After the sprint, leadership can choose to proceed into a 90-Day Governed Agent Pilot, defer with confidence, or refine the opportunity for a later phase. No commitment is required before the evidence supports it.
01
Proceed to 90-Day Governed Agent Pilot
Move directly into a production pilot for the recommended first agent with IGNA governance built in from day one.
02
Defer with confidence
Use the sprint findings to inform internal planning, governance work, or a future procurement cycle - without wasted effort.
03
Refine for a later phase
Identify a different workflow, complete process maturity work, or address data readiness before committing to a pilot.
Process-first adoption
IGNA starts with the workflow, the process maturity, the risks, and the expected outcome - not with the model. Every deployment is grounded in operational reality.
Governed AI agents
Approved data, role-based access, human review, audit trails, and escalation rules are core to the IGNA operating model - not add-ons applied after the fact.
Enterprise integration
Connect to documents, systems, APIs, knowledge bases, workflows, and legacy applications - where appropriate and with the right governance controls in place.
Ready to find your first AI agent?
Book a session and leave with a practical first-agent roadmap in 30 days.
Process-first adoption
IGNA starts with the workflow, the process maturity, the risks, and the expected outcome - not with the model. Every deployment is grounded in operational reality.
Governed AI agents
Approved data, role-based access, human review, audit trails, and escalation rules are core to the IGNA operating model - not add-ons applied after the fact.
Enterprise integration
Connect to documents, systems, APIs, knowledge bases, workflows, and legacy applications - where appropriate and with the right governance controls in place.