From go-live to agent-ready planning

ForeLane is a boutique advisory firm for companies that run supply chain planning on o9 or Kinaxis. We stabilise live deployments, get planners working in the system, and prepare planning for AI agents.

The route after go-live A chart of the route a planning deployment takes after go-live. Implementation ends at go-live. The lane then passes open defects, data nobody trusts and spreadsheet workarounds, and reaches three waypoints: stable, adopted and agent-ready. Implementation Your integrator's work Open defects Data nobody trusts Spreadsheet workarounds Go-live Stable Blockers fixed, data trusted Adopted Planners run the plan in the system Agent-ready Rules and guardrails in place
  1. Go-liveThe implementation ends. Open defects, data nobody trusts and spreadsheet workarounds remain.
  2. StableBlockers fixed, data trusted.
  3. AdoptedPlanners run the plan in the system.
  4. Agent-readyRules and guardrails in place.
We start where the implementation ends.

Three situations we are built for

  • The system is live and the plan isn't trusted yet

    Defects stay open after go-live, data issues surface in every cycle, and planners keep a spreadsheet beside the system.

  • The system is stable and planners still work around it

    Overrides are high, exception queues go unread, and the weekly cycle depends on a few people who know the workarounds.

  • Leadership wants AI agents in planning

    Agents need clear definitions, planner rules, exception logic and guardrails before anyone can trust them with a planning decision.

Two ways to start

Each has a fixed scope, length and fee, agreed before work begins.

Agent Readiness Assessment

2 to 4 weeks

For planning teams that want AI agents to take on real decisions. We assess five areas of your planning operation and score each one with evidence.

The five areas

  • Decision inventory. Which planning decisions are made, how often, and who overrides them.
  • Definitions and master data. Whether terms and data mean the same thing across teams.
  • Planner rules and exception logic. What planners know that the system does not.
  • Decision logs and feedback. Whether decisions and their reasons are recorded.
  • Governance and guardrails. Who owns an agent and what it may decide.

What you receive

  • A red, amber or green score for each area, with the evidence behind it
  • The planning decisions agents can take now, and what is missing for the rest
  • Two or three scoped agent use cases
  • A 90-day roadmap

Hypercare Rescue

4 weeks

For deployments within six months of go-live that have open defects, data issues or low planner use.

Week by week

  • Week 1. Triage open defects and data issues by severity.
  • Weeks 2 and 3. Fix the top blockers.
  • Week 4. Planner adoption plan and handover.

What you receive

  • A triaged log of every open defect and data issue
  • Fixes for the blockers that stop planners using the system
  • A planner adoption plan
  • An exit report with what remains and who owns it

Re-implementation and new modules are outside the scope of a rescue.

How an engagement runs

  1. A first conversation

    45 minutes on where your deployment stands, what is not working and what you plan to do with AI.

  2. A two-page proposal

    Scope, deliverables, timeline, fee and acceptance criteria, all fixed before we begin.

  3. Delivery in your environment

    We work in your systems, alongside your planning team, and report progress every week.

  4. Handover

    A written report and roadmap that your team owns. Every deliverable is yours to keep.

Your data stays in your systems. We do not put client data into public AI tools.

For consulting and implementation partners

We add senior o9 and Kinaxis capacity to your team, under your brand.

Bring in a solution architect or program lead for a single engagement. When you need more people, we form a small pod: a senior lead with one or two consultants.

Talk to us about capacity
  • We do not sell implementations to end clients, so we never compete with you.
  • Our people work in your tools and templates, under your name.
  • Deliverables carry your brand, with a clean handover of intellectual property.
  • A pod starts with a six-week pilot on one workstream.

Specialists in supply chain planning and applied AI

ForeLane brings together people who have spent their careers inside planning transformations and people who build with AI.

Our team has led planning and process transformations at Fortune 500 companies, across more than ten enterprise deployments, from solution design through go-live, hypercare and adoption.

Three vantage points
We have worked inside a planning software vendor, a global consulting firm and an in-house planning team.
A narrow focus
o9 and Kinaxis, after go-live. That focus keeps our advice specific.
Senior-led
Senior practitioners lead and deliver every engagement.
Where we work
Based in India. We work with planning teams in North America and with global capability centres in India.

Tell us where your deployment stands

A first conversation takes 45 minutes and costs nothing. Write to us with your platform, how long you have been live and what you want to fix.

[email protected]