Services from a team
that ships software.
We build and run our own products — Tracion, FinGuard, Nerati, Enableo — which means our advice comes from production systems, not from a framework deck. IT and AI consulting, digital transformation, and hands-on training in product discovery, AI, and agile delivery.
What We Offer
Six services.
One accountable team.
Engage one pillar or sequence several — most clients start with an assessment, then move into delivery and enablement.
IT Consulting
Architecture, systems and delivery advisory
Independent technical advisory for teams that need a clear-eyed read on their systems — architecture reviews, technology selection, cloud and cost posture, integration strategy, security and delivery practice.
- Architecture & codebase assessment
- Technology and vendor selection
- Cloud, cost and scalability review
- Integration & data architecture
- Security, privacy and compliance readiness
- Delivery process and team capability review
AI Consulting
From AI ambition to shipped, governed systems
We help organisations move past AI experiments — identifying the use cases that actually pay back, designing the data and evaluation foundations, and building agentic systems that hold up in production.
- AI opportunity assessment & use-case scoring
- Data readiness and RAG architecture design
- LLM, agent and workflow automation design
- Evaluation, guardrails and observability
- Build-vs-buy and model selection strategy
- AI governance, risk and responsible-use policy
Digital Transformation
Modernise the operating model, not just the stack
Transformation programmes that start from business outcomes and work back to systems — process redesign, legacy modernisation, data unification, and the change management that makes any of it stick.
- Current-state assessment & digital maturity baseline
- Target operating model and capability roadmap
- Legacy modernisation and migration sequencing
- Process automation and workflow redesign
- Data unification and reporting foundations
- Change management, adoption and enablement
Product Discovery
Validate before you build
Structured discovery that de-risks the expensive part. We frame the problem, test the riskiest assumptions with real users, and leave you with a prioritised, evidence-backed scope instead of a wish list.
- Problem framing and outcome definition
- User research, interviews and journey mapping
- Assumption mapping and riskiest-assumption tests
- Prototyping and concept validation
- Opportunity solution trees & prioritisation
- Discovery-to-delivery handover with a lean scope
Agile Enablement
Agility that shows up in your delivery metrics
Practical agile coaching for teams that have the ceremonies but not the outcomes. We fix the flow — backlog quality, slice size, WIP limits, engineering practice, and the metrics leadership actually needs.
- Delivery health and flow diagnostic
- Scrum, Kanban and scaled-agile coaching
- Backlog refinement and story-slicing practice
- Sprint, review and retrospective facilitation
- Flow metrics — lead time, throughput, WIP, predictability
- Engineering practice: CI/CD, testing, code review
IT Training
Workshops and bootcamps that transfer capability
Hands-on training built by people who ship software, not by a curriculum team. Every track runs on your real context — your product, your backlog, your data — so the learning survives contact with Monday morning.
- Product Discovery track
- Digital Transformation track
- AI & Applied GenAI track
- Agile & Scrum track
- Delivered in-person, remote, or hybrid
- Bahasa Indonesia or English
Technical Depth
Where our engineers go deep.
IT Training & Enablement
Four tracks.
Run on your real work.
No generic case studies. Every exercise uses your product, your backlog, and your data — so what participants practise on day two is what they do on Monday.
Product Discovery
2 days · workshop
Curriculum
- 1Outcomes over output: framing the problem worth solving
- 2Continuous discovery habits and user interview technique
- 3Assumption mapping — desirability, viability, feasibility, usability
- 4Designing riskiest-assumption tests you can run in a week
- 5Opportunity solution trees and prioritisation frameworks
- 6Turning discovery evidence into a delivery-ready scope
Who it is for
Product managers, business analysts, founders, product owners
What you walk away with
Teams leave with a validated problem statement, a tested prototype, and a prioritised backlog built from evidence rather than opinion.
How We Engage
Pick the shape
that fits the problem.
Assessment Sprint
2–4 weeks
A time-boxed diagnostic. We review your architecture, delivery practice, data, or AI readiness and hand back a findings report with a prioritised, costed roadmap.
Best when you need clarity before committing budget.
Advisory Retainer
Ongoing, monthly
Fractional access to senior architects and AI engineers — design reviews, technology decisions, vendor evaluation, and a second opinion on the calls that are hard to reverse.
Best for teams that need senior depth without a senior headcount.
Embedded Delivery
3+ months
Our engineers and product people work inside your team — building the thing while transferring the practice, so capability stays behind when the engagement ends.
Best when a roadmap is agreed and delivery capacity is the constraint.
Workshop & Bootcamp
2–4 days
Intensive, hands-on training run on your real product and backlog. In-person in Jakarta, remote across time zones, or hybrid — in Bahasa Indonesia or English.
Best for lifting a whole team's capability at once.
The Process
From first call
to capability transfer.
Discovery call
A 45-minute conversation about the outcome you are after, the constraints you are working inside, and what has already been tried. No slideware.
Scoped proposal
We come back with a written proposal: objectives, deliverables, engagement model, timeline, and a fixed price or rate. Assumptions and exclusions are stated explicitly.
Engagement
Weekly checkpoints, working artefacts you can review as they emerge, and a single accountable lead. You always know what is being worked on and why.
Handover & enablement
Every engagement ends with documentation, a decision log, and a working session that transfers what we learned to your team — not a dependency on us.
Why Skyletica Labs
Advisors who are also operators.
We run our own products
Tracion, FinGuard, Nerati, and Enableo are live systems with real users. Everything we recommend on architecture, AI, and delivery is something we carry the consequences of ourselves.
AI in production, not in slides
We have shipped RAG pipelines, agentic workflows, document forensics, and AI copilots grounded in transactional data — including the evaluation and guardrail work that keeps them trustworthy.
Capability stays with you
Every engagement ends with documentation, a decision log, and a working handover session. We would rather you not need us for the same problem twice.
Curious what we build when we are the client?
Let's Build the Future Together
Ready to transform your organization with AI? Get in touch.