Durable custom, built like products.
Enterprise custom solutions on Salesforce, adjacent platforms, and hyperscalers. What makes them durable: domain models, automated tests, observability, release engineering. The full gamut: ideation, design, architecture, build, integration, and the sustain work that starts the day you go live.
Product discipline, inside your process.
Three things that set our Custom Solution Development practice apart.
“Year three is when most custom builds hit their reality check. The team that built it has rotated out, the people who own it now can't make sense of it, and the workarounds start. We're not just writing code, we're shaping products and architectures that will, almost certainly, be maintained by someone other than us.”
Custom builds deserve the same engineering bar as products
Custom solutions go to one customer; products go to many. The engineering bar shouldn't move. The patterns that keep an ISV's product healthy across fifty customer installs are the same patterns that make a bespoke enterprise system last. The result is a system your team can still ship from in year five, not another layer on the pile.
We ship on your release cadence
Most consultancies impose a delivery model and let you adapt. We learn how yours works: release windows, testing standards, CAB process, code review culture. We ship inside it. Your engineers release our code the same way they release their own. See how we work →
Same engineers from prototype to operate
The team that designs your architecture is the team that builds it, and the team that builds it is the team that runs it after launch. The senior engineer who scopes the work is in the PRs on day 90. The people who know your domain stay close, and they hand off cleanly, with code your team can read.
Custom solutions get the same engineering bar as the products we ship to other companies.
Product builds go to many customers and custom builds go to one, so the specifics are different: your domain, your release cadence, your operators. The engineering doesn't change. Same domain modeling, same tests, same observability, same release pipelines, same sustaining discipline.
From napkin sketch to year-five sustain.
Custom solutions don't ship in one phase. We can plug in at any stage, or run the whole arc end to end. Same team, same engineers, from the first whiteboard to the sustain work after go-live.
Ideate
Problem framing, stakeholder alignment, success criteria. Decide what's worth building.
- Discovery and stakeholder interviews
- Opportunity framing and success metrics
- Build / buy / extend trade-offs
- Solution shaping and rough scope
Architect
The shape of the system, settled before the first flow. Domain models, service boundaries, integration patterns, identity, security.
- Domain modeling and service boundaries
- Salesforce or hyperscaler reference architecture
- Integration patterns and event topology
- Identity, security, and compliance models
Design
UX for the operators who'll actually use it. We sit with the people whose workday this becomes: interviews, prototype reviews, ride-alongs in their actual flow.
- Operator journey maps and task flows
- High-fidelity UX and design system fit
- Clickable prototypes for stakeholder validation
- Accessibility and i18n baked in
Build
AI-augmented PODs on 1–5 day cycles. PMD plus AI code review on every PR, automated coverage on the flows the business runs on.
- AI-augmented agile delivery
- PMD rulesets and AI code review on every PR
- Automated tests on flows the business depends on
- DX-based CI/CD with reviewable releases
Integrate & implement
ERP, finance, HR, ITSM, marketing, telemetry, identity. The pattern that fits the workload: real-time, batch, or event-driven. Rollout sequenced so the business keeps shipping.
- System integrations (ERP, finance, HR, ITSM, marketing)
- Event-driven backbones and bidirectional sync
- Data migration, cutover, and customer-zero rehearsals
- Change management and rollout sequencing
Sustain
SLA-backed sustaining, regression coverage across releases, incident response.
- SLA-backed Tier 3 sustaining
- Release-cycle regression coverage
- Performance, cost, and security optimization
- On-call, incident response, and clean handoff to your team
The work itself is changing fast.
We work alongside you to spot what's promising, prove it on real workflows, and put what survives into production. The output is the workflows and processes themselves, rebuilt to be AI-enabled and agentic by default.
Stay current, ignore hype
The frontier moves every week. We track models, agents, tooling, and emerging patterns across the ecosystem, and bring you what's worth adopting.
Experiment to production
Sandboxed pilots on real workflows in days. Cheap to try, fast to kill the ones that don't pay off. When a pilot proves out, we ship it with the same product-grade discipline as the rest of the platform: tests, eval harnesses, observability, rollback paths.
Workflows, not just features
We rebuild the workflow around what AI makes possible: agents handle the steps machines do better, humans handle the rest, and legacy steps that no longer earn their place come out.
What product ethos looks like on a custom engagement.
The six stages above are the shape of the work. These five practices are the discipline we hold through all of them.
Architecture before customization
Domain models, service boundaries, integration patterns, and security models settled before anyone builds the first flow. The system has a shape, and we defend it across every subsequent feature.
Tests on the things that matter
Automated test coverage on the flows your business runs on. Regression suites on the integrations that would cost you a quarter if they broke. PMD rulesets and AI code-review agents on every PR.
Observability you'd put in production
Telemetry, error tracking, latency budgets, queue depth, batch-job visibility. The same dashboards you'd put on a SaaS product, pointed at the platform your team logs into.
Release engineering that doesn't ruin Fridays
DX-based CI/CD, scratch orgs, automated promotion across environments, rollback scripts. Permission set deltas, metadata diffs, data migrations: all in the pipeline, all reviewable.
Code your team can own
Opinionated structure, named patterns, and decision records you can find six months later. The day we leave, your internal team can read the code, find the why, and ship the next change without us.
The platform is whatever the work demands.
Salesforce anchors many enterprise builds, but plenty live entirely off-platform, or span both. The team and the engineering bar stay the same wherever the workload fits best.
Salesforce platform builds
Enterprise Salesforce orgs treated as products. Custom objects, flows, Apex, LWC, Data 360 as the operational anchor for the 500–5,000 people who log in every day. Greenfield builds, classic-to-Lightning rebuilds, monolith decomposition, and consultant-pile cleanup, sequenced so the org keeps shipping while we rebuild underneath it. Specialist-led work sits under Salesforce Solutions.
Internal platforms on hyperscalers
Custom backends and modern web apps on the hyperscalers. Serverless where it fits (Lambda, Cloud Run, Functions), containers when it doesn't, React or Next.js front-ends sized to your operators' workflows. Re-platforming and monolith decomposition handled the same way.
End-to-end business systems
Workflow systems, internal SaaS for ops/finance/CS, forms, approvals, dashboards, process automation. Built for the operators who use them daily, sized for the volume your business runs at, integrated into your identity stack from day one. Revenue systems like CPQ, Revenue Cloud, and quote-to-cash sit under Revenue Operations.
Integrations & data backbones
ERP, finance, HR, ITSM, marketing automation, product telemetry, support tooling. Real-time, batch, or event-driven. We pick the pattern that fits the workload. MuleSoft, Workato, Kafka, native APIs. Salesforce Data 360, BigQuery, Snowflake, S3, connected to your operational platform without becoming a second source of truth. Heavier pipeline work lives under Data & Integrations.
Internal AI workflows & agents
Agentforce agents pointed inward, at your sales team, your service reps, your operators. Internal copilots, retrieval-grounded assistants, workflow automations that close the gap between the system and the people running their day inside it. Each agent ships with an eval harness and a rollback path before it goes in front of users. Customer-facing agents that ship as products live on Product Development.
Sustaining & operate
SLA-backed Tier 3 sustaining, release-cycle regression coverage, performance and cost optimization, incident response. The team that built it stays close, or hands off cleanly to a dedicated sustain team. Security controls that ship with the platform sit under Application Security.
Enterprise teams build with us.
A sample of the teams whose platforms and custom systems we've built, modernized, or kept running.
Common questions
What does Aquiva's Custom Solution Development include?
The full lifecycle: ideation, design, architecture, build, integration, and sustaining engineering on Salesforce, adjacent platforms, and hyperscalers. Every custom engagement is built with product-grade discipline: domain models, automated tests, observability, and release engineering.
What Salesforce customization services does Aquiva provide?
Custom builds on the Salesforce platform, from domain modeling and architecture through build, integration, and sustaining engineering. That covers custom application builds, integrations with ERP, finance, HR, ITSM, and marketing systems, and the release engineering to ship on your cadence.
How is Aquiva's custom development different from a typical consultancy?
We build durable solutions with a product ethos: automated tests, CI/CD, observability, and long-term sustain, so the work holds up years after go-live.
Which clouds does Aquiva build custom solutions on?
Salesforce, adjacent platforms, and hyperscalers. We match the platform to the problem.
Your custom systems should outlast the consultants who built them.
The platforms running your business should ship like the products your customers love, and keep shipping long after we've gone.