From SAP S/4HANA transformation and intelligent process automation to cloud infrastructure at scale and structured AI strategy — Insi delivers end-to-end capability across the full technology lifecycle. We don't hand you a framework and walk away; we stay in the room until the result is real.
Artificial intelligence has become a declared strategic priority across large enterprises — yet the gap between intent and genuine execution remains vast. Most organisations are stuck at proof-of-concept. Our services exist precisely to close that gap: turning boardroom ambition into production-grade capability that compounds over time.
Move the needle — talk to Insi →The overwhelming majority of enterprises name AI as a top-tier agenda item — yet investment alone doesn't create outcomes.
Without measurable baselines, transformation programmes drift. Organisations cannot improve what they cannot see.
A small cohort of leaders has crossed the threshold from experimentation to real competitive advantage. Our services help you join them.
Every service we deliver is engineered to integrate with the others — so your technology landscape evolves as a system, not a collection of siloed initiatives.
Modernise your core operations with the world's most advanced ERP platform. We guide mid-market and enterprise clients through greenfield implementations, system conversions and selective data transitions — with a track record that earned us the industry's top SAP S/4HANA Midmarket leadership ranking.
Explore SAP services →Rethink your business processes from the inside out. Our Smart BPO practice combines intelligent automation, AI-assisted decision layers and digital optimisation to reduce operational costs, eliminate manual bottlenecks and create the headroom your team needs to focus on what actually matters.
Explore Smart BPO →From migration strategy through to continuous cloud operations, Insi's AWS practice delivers modernisation with real governance and measurable business value. We architect, migrate, secure and operate cloud environments at scale — turning infrastructure from a cost centre into a competitive lever.
Explore AWS Cloud →A structured, end-to-end journey — from diagnostic assessment and leadership literacy through to co-created AI governance frameworks embedded in your corporate strategy. We don't just run workshops; we build the organisational muscle that sustains AI-driven value long after our engagement ends.
Explore AI Strategy →Legacy ERP systems are a hidden constraint on growth. SAP S/4HANA is the platform that removes that constraint — and Insi is one of a small number of partners with genuine delivery depth at both mid-market and enterprise scale. Our recognition as a Midmarket SAP S/4HANA Transformation Leader reflects what we do every day: get clients live, on time, and operating with confidence.
A rigorous discovery phase that maps your current-state processes, surfaces quick wins, and delivers a phased roadmap with a defensible ROI model — before a single line of configuration is written.
Agile delivery using SAP Activate methodology, with dedicated functional and technical consultants across FI/CO, MM, SD, PP, and HR modules. Fit-to-standard discipline keeps timelines and budgets honest.
End-to-end integration architecture with third-party systems, legacy platforms and data warehouses. Structured data cleansing, validation and migration — so you go live with clean, trustworthy records.
Ongoing support, optimisation and continuous improvement managed by a dedicated team — with SLA-backed response times and proactive monitoring so your S/4HANA environment evolves as your business does.
Data-driven analysis of your existing workflows to identify automation candidates, capacity waste and value leakage — ranked by effort versus impact so transformation investment goes exactly where it counts.
RPA, AI-assisted decision engines and low-code orchestration — combined into automated workflows that operate continuously, handle exceptions intelligently, and escalate only what truly needs a human.
Where appropriate, Insi assumes day-to-day operational responsibility for defined process areas — giving your internal team strategic bandwidth while we deliver consistent, measurable performance against agreed KPIs.
A structured quarterly optimisation cycle reviews performance data, introduces new automation opportunities and scales capacity as transaction volumes grow — without proportional headcount growth.
Traditional BPO trades one set of inefficiencies for another. Smart BPO is different: it uses intelligent automation and AI-assisted decisioning to fundamentally redesign how work flows through your organisation — not just who does it. The result is lower cost, higher throughput, and operations that scale without the usual headcount penalty.
Cloud adoption without a governance backbone is just expensive migration. Insi's AWS practice is built on the principle that cloud value is operational, not architectural. We design, migrate and run AWS environments in a way that delivers measurable outcomes — reduced infrastructure cost, improved resilience, and the data and compute foundation that modern AI workloads require.
Portfolio analysis, workload classification and a migration roadmap that sequences effort by business value — not technical convenience. We quantify the business case before you commit a single workload.
Lift-and-shift, re-platform and re-architect programmes executed in parallel streams — with rigorous testing gates, rollback procedures and zero-downtime migration patterns for critical workloads.
AWS security architecture aligned to LGPD, ISO 27001 and sector-specific requirements. Identity management, network segmentation, encryption at rest and in transit — built in from day one, not audited in after the fact.
24/7 monitoring, incident response, patch management and FinOps reporting — so your team retains strategic control while Insi handles the operational layer with full transparency and SLA accountability.
A structured assessment of your current AI posture across data, technology, talent and governance — producing a clear maturity score and a prioritised gap analysis that the executive team can act on immediately.
Role-specific capability-building programmes — from board-level AI fluency sessions through to hands-on upskilling for product, operations and technology teams. We build comprehension that drives confident decision-making, not checkbox compliance.
Facilitated sessions that connect AI opportunity to business model — identifying where generative AI, machine learning and automation create differentiated value within your specific competitive context, not a generic playbook.
A practical governance structure covering model accountability, data provenance, bias monitoring and regulatory alignment — giving your organisation the confidence to deploy AI at scale without exposing the business to reputational or compliance risk.
Most AI programmes fail not because of technology — but because of strategy, governance and human readiness. Our AI Strategy & Literacy service addresses all three in a single, connected engagement. We run diagnostic, build capability and co-create your corporate AI strategy in parallel, so you exit with both clarity and momentum rather than a slide deck that gathers dust.
Every engagement follows a disciplined sequence designed to eliminate ambiguity early and protect delivery integrity at every stage. No surprises — just visible progress toward agreed outcomes.
We map your current state, understand the business context and define success criteria with quantifiable metrics before anything else begins.
A phased delivery plan with clear decision gates — sequenced to deliver early value while laying the foundations for long-term capability.
Agile, sprint-based delivery with weekly client touchpoints, transparent risk tracking and continuous alignment to the agreed business case.
Structured hypercare, user adoption support and performance baselining in the first 90 days — the period when most transformation value is won or lost.
Ongoing managed services, continuous improvement cycles and capability extensions — so the investment grows in value rather than depreciating after cutover.
Most organisations have experienced technology engagements that produced documentation rather than outcomes. Here's how the Insi approach is built differently.
| Dimension | Typical engagement | The Insi approach |
|---|---|---|
| Scope definition | Broad statements of work with vague deliverables — scope creep is the rule | Outcome-based contracts with quantified success criteria agreed before kick-off |
| AI integration | AI added as an afterthought or marketing layer over legacy delivery models | AI embedded throughout — in tooling, methodology and managed service operations |
| Post go-live support | Knowledge transfer document and a 30-day warranty, then the team moves on | Structured hypercare, SLA-backed AMS and continuous optimisation built into the engagement |
| Business case rigour | ROI calculated retrospectively, if at all — rarely tied to original investment thesis | Financial model agreed upfront; tracked quarterly against actuals throughout delivery |
| Change management | A training deck and a few workshops, delivered in the final sprint | Embedded change workstream from week one — adoption measured and reported alongside technical delivery |
| Geography & language | Global templates applied without local adaptation — cultural and regulatory nuance ignored | 35+ years operating in Brazil and the Americas — genuine local depth across 8 countries |
Our services are delivered on the platforms our clients' businesses run on — with partnership credentials that reflect genuine delivery depth, not just logo association.
Tell us your challenge and we'll map the path forward — no pre-packaged formula, no generic pitch. A conversation about what actually matters in your specific context, followed by a plan that fits.
Offices across Brazil and the Americas · 35+ years of delivery · 800+ projects