Technology consulting

We move enterprise technology estates without the business feeling it.

Guided Navigations advises companies through the technology programs they cannot afford to get wrong — merger integrations, data center exits, platform and data migrations, and the governance that has to sit under AI before it is allowed near a live process.

15+Years leading enterprise technology programs
250+Applications migrated out of a legacy data center estate
35,000+Application estate governed across three regions
6Industries served, from beauty and luxury to regulated finance
What we do

Six practices, one discipline underneath them

Every engagement starts the same way: find out what actually exists, record a decision against each piece of it, then sequence the work so that nothing moves before the thing it depends on. The practice areas differ; that discipline does not.

Mergers, acquisitions & separations

Technology integration against a Day 1 that does not move, and carve-outs where two estates have to come apart cleanly.

  • Application discovery across acquiring and acquired estates
  • A recorded disposition on every application — retain, migrate, replace or retire
  • Integration, coexistence and separation planning
  • Service ownership settled between predecessor organizations
  • Cutover, Day 1 readiness and post-close stabilization

Data center exit & cloud migration

Getting workloads off ageing estates and onto public or private cloud, sequenced by dependency rather than by convenience.

  • Estate assessment and dependency mapping
  • Disposition and target-platform selection per workload
  • Capacity sized to what the workload needs, not what it was allocated
  • Staged cutover with validation gates, rollback points and hypercare
  • Legacy decommissioning behind each wave

Data migration & integration

Moving data between platforms with reconciliation in front of cutover, so the numbers still tie out the morning after.

  • Source-to-target mapping and data lineage
  • Reconciliation and validation gates before go-live
  • Interface design across ERP, middleware, identity and reporting
  • Data governance and quality controls for regulated environments
  • Reporting consolidated onto the surviving platform

AI governance & gating

The part most AI programs skip. Not whether the model works — whether you can defend how it is used, and who decided.

  • Use-case intake with a risk tier attached before approval
  • Eligibility rules and acceptable-use policy through Legal and Compliance
  • Human-in-the-loop gating: which steps a person must still own
  • Enterprise assistant and copilot rollouts, with adoption measured
  • Audit trail and success metrics agreed before the pilot starts

Retail & luxury commerce technology

Commerce platforms and brand technology for businesses whose commercial calendar is not negotiable, and we plan around it.

  • eCommerce platform integration following brand acquisition
  • One target-state standard across regional markets, exceptions documented
  • Commerce, content and customer data platform integration
  • Marketplace and third-party API integration
  • Peak-season freeze planning and release discipline

Marketplace & Amazon operations

End-to-end marketplace selling, advised by operators who run their own catalogue rather than by an agency reading a dashboard.

  • Overseas sourcing, supplier management and unit economics
  • 3PL and FBA inbound, inventory planning and replenishment
  • Seller Central operations, listings, A+ content and catalogue hygiene
  • Advertising structure, budget allocation and reporting
  • Channel strategy across marketplace and direct-to-consumer
Industries we serve

Where we have done the work before

Sector context changes what a migration plan has to respect — a freeze window, a regulator, a shipping schedule, a product launch. These are the environments we know from the inside.

Beauty & luxury goods

Brand acquisitions, regional market standards and commerce platforms where brand experience cannot be compromised for delivery convenience.

Retail & eCommerce

Commerce platforms, marketing technology, campaign data and the peak-season calendar that governs when anything is allowed to change.

Banking & insurance

Regulated control environments, audit-ready sign-off trails, risk data reconciliation and governance platform upgrades.

Logistics & transportation

Multi-entity operating models, newly formed carriers and application footprints stood up against immovable launch dates.

Education & publishing

Large legacy estates, academic-calendar constraints and long migration programs run in parallel waves.

Consumer brands

Direct-to-consumer and marketplace channels, supply chain from source to fulfilment, and the unit economics underneath both.

How we work

Discovery first. Always.

Programs rarely fail at execution. They fail because a dependency nobody had written down surfaced during a weekend cutover window. These four stages exist to make that impossible, and they run in this order.

Stage one

Discover

We build the inventory: every application, who owns it, what it interfaces with, what data crosses that interface, what the licence permits, and what breaks downstream if it slips.

You get a live estate inventory and dependency map, maintained as a record rather than delivered as a one-off audit.

Stage two

Decide

Every item gets a disposition and a named owner. Retain, migrate, replace or retire. Nothing stays undecided, and no decision stays unattributed.

You get a disposition register and target-state definition agreed with business and technology owners.

Stage three

Sequence

The dependency map sets the order of the waves — what cannot move before what, what must run in coexistence, and where the critical path actually sits across parallel work.

You get an integrated plan with wave sequencing, milestone baselines and a live RAID and decision log.

Stage four

Cut over

Each wave goes through build, test, validation and cutover behind defined gates, with rollback points, hypercare, and decommissioning of what it replaced.

You get delivery against the date, executive reporting honest enough to escalate early, and the legacy estate actually retired.

How we think about it

Three things we hold to

“An inventory is an asset, not a deliverable.”

Most estate documentation is produced once, signed off, and immediately starts rotting. We maintain it as the live record the program is run from, which is the only version that is worth anything when a date is at risk.

“An undecided application is a risk with no owner.”

Programs stall on the long tail — the applications nobody will claim and nobody will kill. Forcing a recorded disposition with a named owner on every one of them is unglamorous, and it is what keeps the critical path honest.

“AI needs a gate before it needs a model.”

The hard question is not what a system can automate. It is which steps must stay with a person for control reasons, who approved that, and whether the decision would survive a regulator asking. Settle that first and adoption follows.

Contact

Tell us what has to be true, and by when.

A short description of the program, the date it is working to, and what is currently unclear is enough to begin. We will tell you candidly whether it is work we are the right firm for — and if it is not, what kind of firm is.

Enquiries are answered within one business day.

Email
Telephone
Location
Montvale, New Jersey · US Eastern

Our contact details are deliberately not written into this page's code, so that automated address harvesters cannot collect them. One click reveals them.

Guided Navigations

Technology consulting
Montvale, New Jersey · United States

Practices
M&A and separations · Data center exit
Data migration · AI governance
Retail and luxury commerce · Marketplace operations
Engagement
Remote and on-site
Project, program and advisory