Architecture decided before the
first line of code.

We design the system before you spend serious money building it, domain boundaries, data architecture, integration contracts and capacity models, every decision written down with the trade-offs that shaped it. Your engineers start day one with C4 diagrams, ADRs and schemas they can build from, not a slide deck.

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written case studies

public client reviews

10 yrs

founder in CRM systems

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System Design & Architecture

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Most rewrites were designed
in the first week.

The costliest architecture mistakes are made before anyone notices a decision is being made. Four patterns we are hired to prevent, or unwind.

01GUESSED

Boundaries drawn by whatever got the demo working

When module structure is an accident of the first sprint, every later feature inherits it. Two years on, that 'temporary' coupling is why a two-day change takes two months, and why the v2 rewrite conversation has started.

02HYPE

Microservices before there is a service to split

A team of six running forty services pays the full distributed-systems tax, network failures, tracing, deploy orchestration, without a single distributed-scale problem to show for it. Architecture chosen from conference talks instead of constraints burns runway.

03SCHEMA

A data model dictated by ORM defaults

Schemas that mirror this sprint's forms can't answer next year's questions. Multi-tenancy bolted on late, IDs that leak, no retention design, the database is the one layer where mistakes compound quietly and migrations get scarier every quarter.

04TRIBAL

Decisions that live in one engineer’s head

No written trade-offs means every choice gets re-litigated in sprint twelve, and when that engineer leaves, every "why is it built this way?" becomes archaeology. Undocumented architecture is a key-person risk your investors never priced in.

Our fix: engineer the decisions, not just the code.

Architecture is not a diagram, it is the set of decisions that are expensive to change. We make each one explicit, score the options against your constraints, write down what we traded away, and prove the risky ones in code before you commit a team to them.

Pressure-test your design →

Model the domain before picking the stack

We event-storm the business with the people who run it, carve bounded contexts along real ownership lines, and agree the language everyone will code in. Technology choices come after the domain model, never the other way around.

Event stormingBounded contextsContext map

Monolith-first, split on evidence

For most teams under twenty engineers, a modular monolith with enforced boundaries beats a fleet of microservices on cost, speed and sleep. We design the seams in code and write down the split criteria, so when a service earns extraction, it lifts out cleanly.

Modular monolithService boundariesWritten split criteria

Every decision is an ADR

Database, hosting, framework, build-vs-buy, each gets an architecture decision record with the options weighed, the losers documented and the exit cost named. Six months in, nobody argues about why; they read the record and move on.

ADR libraryTrade-off matrixTech selectionExit costs

Prove the scary parts in code

The two or three assumptions the design leans hardest on, throughput, tenant isolation, cost per customer, get proof-of-architecture spikes: small, disposable builds under real load that return a go/no-go before you staff the build.

PoA spikesLoad modelsCost projections

Architecture services, foundation to handoff

All engineering services

Domain Modeling & Service Boundaries

Event stormingBounded contextsContext mapsOwnership lines

Data Architecture & Schema Design

Schema designMulti-tenancy strategyIndexing planRetention design

Integration Contracts & APIs

API contractsEvent schemasVersioning policyFailure semantics

Capacity & Cost Modeling

Load projectionsCost per tenantScaling triggers

Security & Compliance Architecture

AuthN/AuthZ designTenant isolationEncryption planAudit trails

Tech Selection & ADRs

Trade-off matrixADR libraryBuild vs buyExit costs

Proof-of-Architecture Spikes

Spike reposLoad-test resultsGo/no-go calls

Design Review of In-Flight Builds

Boundary checkFailure-mode analysisRisk registerWritten findings

From ambition to build-ready in five stages

Every stage ends in artifacts engineers build from, diagrams, decisions and schemas, not slideware. Hover a stage to see what you get.

/ 05

Discover

01Map the constraints

Business goals, load and growth assumptions, team shape, budget, compliance obligations and every system the new one must live with, captured and agreed before any design opinion is offered.

Context mapConstraint registerNFR targets

02Model the domain and the data

Event-storming workshops carve out bounded contexts with your team in the room. Service boundaries, the data architecture and the integration seams all follow from the domain, not from the framework.

Domain modelC4 diagrams (L1–L3)Draft schemas

03Write the decisions down

Monolith vs services, data stores, hosting and build-vs-buy each get an ADR with the options scored and the losers documented, so nothing gets re-litigated in sprint twelve.

ADR setTrade-off matrixCapacity & cost model

04Spike the risky assumptions

The bets the design leans hardest on get proof-of-architecture spikes: real code under real load, measured against the capacity model, returning a go/no-go answer before you staff the build.

Spike reposLoad-test reportRevised ADRs

05Hand engineers a build plan

Sequence diagrams for the critical flows, a build order that retires risk earliest, and a standing review cadence so the architecture survives contact with delivery, whether we build it or your team does.

Sequence diagramsBuild sequenceReview cadence

Architecture outcomes in spotlight

All case studies

←

→

Solar sales, warehouse and commissions moved from Monday.com to Zoho One in under a month

Solar EnergyZoho Customization

< 1 monthfrom Monday.com to live on Zoho One

View case study ↗

“Encloud has been doing an outstanding job on the Zoho project. Their work displays a high level of expertise and attention to detail. They consistently meet deadlines and deliver top-quality results.”

Autargy Solar

Vendor search cut by 75%, and PrimeDumpster's sales rose 40%

Waste ManagementCustom Web Apps

+40%sales, once quotes got fast

View case study ↗

“Time to find the right vendor dropped by 75%, so callers get answers while they are still on the phone.”

Project review

PrimeDumpster, 140 people

Tasmania.com stopped writing quotes by hand and lifted conversion 35%

Travel & TourismMiddleware & Integrations

15+ hof manual work removed every week

View case study ↗

“Encloud were great to work with. They delivered our Zoho CRM automation project on time and budget and to a high quality. Recommended.”

Tasmania.com

Two years embedded in Packt's product squads as their CRM and data engineer

PublishingCRM Engineering

2 yearsembedded in Packt's product squads

View case study ↗

“Encloud has been exceptional for us as a contractor over a full period of 2 years. They embedded themselves in our squads with absolutely no issue. Attentive, professional and they certainly know their stuff. We would not hesitate to re-hire.”

Packt

Zoho solutions shaped around how Ennoble Care actually works

HealthcareZoho Customization

Zohosolutions shaped around the care team's needs

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“Encloud was a pleasure to work with and worked with me to create solutions that addressed our needs in Zoho. They were creative problem-solvers and were able to advise us on the best way to attack each problem.”

K. Lane

Ennoble Care

A custom SuiteCRM module that runs Label LLC's insurance policies the way the team works

InsuranceSuiteCRM Development

1 modulebuilt for insurance policies, fitted to the workflow

View case study ↗

“5 stars all the way, this is the team to use for SuiteCRM. Experienced, did the work in the time I thought was reasonable, and were able to advise us on the correct way to do a few things. They built a custom module to handle insurance policies and set the system up to flow with our workflow.”

S. Meitz

Label LLC

ImageThink's SugarCRM got the custom features and reports its standard setup could not give

Creative ServicesSugarCRM Development

Customfeatures, cross-module fields and repaired reports

View case study ↗

“Encloud's work with our SugarCRM instance was nothing short of spectacular. They helped us build custom features, relate fields across modules and fix reporting issues, and were always willing to jump on a call. I couldn't recommend their work more.”

M. M.

ImageThink

Put a systems architect in the room before the money moves.

A principal architect and a senior engineer working with your founders and leads from the first workshop, and the same people defend the design through the build.

Case studies written with the client named

Public client reviews quoted word for word

10 yrs

The founder building CRM systems

A reference stack we can defend in writing

Boring where boring wins, sharp where it matters. Every choice below has beaten its alternatives in a written trade-off, and we'll re-run that comparison against your constraints, not ours.

Data & messaging

Application & APIs

Infrastructure as code

Operability & delivery

The layer where mistakes cost the most, designed first, migrated rarely.

PostgreSQL

Redis

Apache Kafka

Book a design session, not a sales call.

60 minutes with a principal architect. Bring a napkin sketch, a spec or a codebase mid-build, leave with the three riskiest decisions named, an honest monolith-vs-microservices read, and what we'd spike first.

✓No obligation, no prepared pitch

✓NDA on request before you share anything

✓Honest "you don’t need us yet" when that’s true

12 reviewspublic client reviews on Upwork and direct

“Encloud were great to work with. They delivered our Zoho CRM automation project on time and budget and to a high quality. Recommended.”

Tasmania.com

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Frequently asked questions

Weighing an architecture engagement against just starting to build? Bring the question to a design session and get an answer scored against your own constraints.

Talk to an architect →

Why pay for architecture consulting instead of just starting to code?+

Because a handful of decisions, data model, service boundaries, tenancy, integration contracts, are ten to a hundred times cheaper to change on paper than in production. A three-to-five-week design engagement is priced against the rewrite it prevents. And when the honest answer is "your product is small enough to just build," we'll say so in the first session.

Will you recommend a monolith or microservices?+

For most teams under about twenty engineers: a modular monolith with enforced boundaries in code, plus written split criteria for the day a service earns extraction. Microservices win when independent scaling, team autonomy or isolation genuinely demand them, and that call gets made in an ADR with the trade-offs scored, not from a conference talk.

What deliverables do we actually get?+

C4 diagrams at context, container and component level; an architecture decision record for every significant choice; database schema designs; sequence diagrams for the critical flows; a capacity and cost model; and a build sequence your team can start on Monday. Everything lands in your repo as markdown and diagrams-as-code, no locked binary formats, no slideware.

How long does a system design engagement take?+

A greenfield design typically runs three to five weeks from first workshop to build-ready handoff; proof-of-architecture spikes add one to two weeks when the design carries real technical risk. A technical architecture review of an existing design or in-flight build usually takes one to two weeks. You get a firm timeline after the design session.

Can you also build what you design?+

Yes, the same engineers who write the ADRs can deliver the build through our custom web apps, API and cloud teams, which keeps designers accountable for their own decisions. Just as often your team builds and we stay on a light review cadence. The deliverables are written so either path works without us in the room.

Our team already has a design, will you review it?+

Yes, and it's some of the highest-leverage work we do. A technical architecture review pressure-tests boundaries, data model, failure modes, security and cost against your stated constraints, and lands as written findings with a ranked risk register. No rip-and-replace agenda, most reviews confirm more than they condemn, and name the two or three changes that actually matter.

What does software architecture consulting cost?+

Fixed price, scoped after the design session: reviews sit at the lower end, full greenfield designs with spikes at the upper. As a benchmark, a complete engagement usually costs less than one month of the engineering payroll it directs, and a fraction of the rewrite it prevents. No retainers required, no percentage-of-build fees.