Phased to first release
- Big-4 SI
- Long transformation program
- Boutique freelancers
- Capacity-dependent
- In-house build
- Backlog-dependent
Implement, customize, integrate, and continuously optimize Microsoft Dynamics 365 or Odoo with the Flectic Accelerated AI Delivery Framework: a controlled, human-reviewed methodology built for SMEs and growth-stage teams.
AI helps accelerate the work around implementation through the Flectic Accelerated AI Delivery Framework. Consultants stay responsible for scope, architecture, client data handling, approvals, and quality.
Flectic exposes Microsoft Dynamics 365 and Odoo directly on the homepage, using the live CMS navigation links for the module paths.
We deploy Dynamics 365 around Business Central, Finance & Operations, Sales, Field Service, HRM, and Copilot with phased scope, senior review, and live operating constraints visible.
Use a quick operating estimate to pressure-test the effort and margin drag created by manual work, split systems, and reporting debt.
This is intentionally conservative. The point is not precision on a landing page; it is making the hidden cost visible before another quarter disappears into workaround labor.
Choose the right platform path, launch focused workflows, and keep improving after go-live.
Discovery, requirements, workflow design, QA, and training supported by AI and reviewed by consultants.
Platform-neutral guidance based on complexity, budget, integrations, and growth plans.
Post-go-live support, reporting improvements, adoption checks, and continuous process refinement.
Every engagement runs the same four-phase arc while preserving the live CMS lifecycle steps as named deliverables.
Focused discovery identifies workflow friction, data risk, and priority outcomes before implementation pressure starts.
Process, system design, and governance become an executable roadmap with clear sequencing and visible tradeoffs.
Configuration, migration, integration, QA, UAT, and training run in practical phases that protect continuity.
After launch, adoption and KPI movement decide the next improvements instead of a static backlog.
Numbers stay tied to operating claims and are treated as scoped targets, not unsupported guarantees.
The design calls for naming tradeoffs directly. These comparison dimensions are editable CMS fields.
Phased to first release
Scoped by phase
Senior consultant context retained
Fit-gap and tradeoffs surfaced early
Hypercare and optimization cadence
One named delivery owner
“They translated strategy into executable milestones and kept every decision tied to measurable ROI. We finally had clarity across finance and operations.”
The goal is controlled change, measurable value, and no unsupported promises.
Flectic starts with a practical readiness view: which systems, workflows, dashboards, and controls must be fixed first so scale does not create more hidden work.
We map the current process, redesign future-state handoffs, and use AI-assisted documentation and QA to improve delivery consistency without skipping human review.
We connect ERP scope to finance visibility, cost-of-work estimates, controls, and measurable operating improvements. Speed and ROI claims stay qualified and evidence-ready.
We define data ownership, integration dependencies, security handling, UAT, and support responsibilities before go-live so the implementation is controlled.
Flectic uses AI as a controlled delivery accelerator. Human review, approvals, and secure handling of client context remain central.
Start with a practical readiness conversation around workflows, data, integrations, budget, and the right first phase.
If we can describe the engagement responsibly on the first call, you leave with a next step. If we cannot, you leave with the reason.