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Solira Inc. Solira Inc.

AI-first delivery — Power Platform · Salesforce · Adobe AEM · BI · Custom

A small bench of specialists, and the AI to go with it.

Deep practices in Power Platform, Salesforce, Adobe Experience Manager, business intelligence, and custom builds on the Microsoft stack — staffed by senior people who have done it before, and who stay reachable for the whole engagement.

AI Readiness Assessment Day 2
Ask"Can AI handle our claims intake?"
BottleneckTriage and routing — not the decision
RecommendedClaude to extract, Agentforce to route
Human staysApproval, exceptions, anything over $25k
Assessment issued
01 — Practices BUILD
So?

Five platforms sit on the table. Which one is actually yours?

Five practices, and no hard edges between them.

Most engagements cross more than one — an agent in Salesforce that reports through Power BI, an AEM site pulling personalization from your own data, a custom front end over Dataverse. Our people go deep enough in all five to combine them, and AI runs through every one.

I

Microsoft Power Platform

Low-code, fast

Canvas and model-driven apps, automated approvals, and reporting built on your existing Microsoft 365 tenant. The right call when the process is well understood and the value is in shipping this quarter instead of next year.

Power AppsPower AutomatePower BIDataversePower PagesCopilot StudioAI BuilderDynamics 365
II

Salesforce

Implement, extend, integrate

Implementations and rescues across Sales, Service, and Experience Cloud — declarative where it should be, coded where it has to be. Plus the integration and data work that decides whether an org is trusted or worked around.

Sales CloudService CloudExperience CloudAgentforceEinsteinApexLightning Web ComponentsFlowMuleSoftData migration
III

Adobe Experience Manager

Content at enterprise scale

Sites, Assets, and Forms on AEM as a Cloud Service — including the migrations off older on-prem instances that most teams have been postponing. We build component libraries and authoring models your marketers can actually use without a developer, wire the DAM into the systems that consume it, and put personalization on a data foundation rather than guesswork. Increasingly that means AI in the content supply chain too: assisted authoring, automated tagging, and generating the variant set a campaign needs.

AEM SitesAEM Assets / DAMAEM FormsCloud Service migrationEdge Delivery ServicesUniversal EditorHeadless / GraphQLAdobe TargetAdobe AnalyticsFirefly Services
IV

Data & Business Intelligence

One number, one meaning

Warehouses, pipelines, and semantic models that make the numbers agree before anyone puts a dashboard on them — then reporting people actually open, with forecasting and anomaly detection where the history supports it. This is also the practice that decides whether AI anywhere else in your business is worth trusting: an assistant is only as honest as the data underneath it.

Power BIMicrosoft FabricAzure SynapseAzure Data FactorySQL Server / SSASTableauCRM AnalyticsSemantic modelsForecasting
V

Custom

Full Microsoft stack · any front end

Real scale, hard integrations, logic no licence model accommodates — or simply a product you want to own outright. Backend and cloud on the full Microsoft stack, the front end in whatever framework your team will still be able to maintain in five years, and integrations out to whatever else you run.

.NET / C#ASP.NET CoreAzureSQL ServerAzure OpenAIAzure AI SearchAzure FunctionsBlazorReactAngularNext.jsTypeScript

Running something that isn't on these lists? Ask. Between the five practices there's very little we haven't had to integrate with, and we'd rather scope it than assume it's out of reach.

02 — AI THINK
So?

Everyone can reach the models now. Who knows where to point them?

Where AI earns its keep.

The strongest projects share a shape: a repetitive judgment call, sitting on data you already own, with a human still holding the decision. Knowing that shape on sight is the expertise. What fills it is a question we answer per task, not per vendor — Copilot, Agentforce, Claude, GPT, or more often a combination, each doing the part it is actually best at.

Agents in the flow of work

Agents that triage, draft, summarize, and route inside Teams, Outlook, or the service console — built on Copilot Studio or Agentforce where the platform earns it, on a model of our choosing where it doesn't, and grounded in your own records either way.

Answers over your own documents

Retrieval over contracts, policies, tickets, and manuals, with citations back to the source so an answer can be checked rather than believed. We benchmark models against your actual documents — long-context reasoning and extraction are not the same job — and keep the choice swappable.

AI on top of BI

Natural-language questions against a governed semantic model, plus forecasting and anomaly alerts — so the exception finds the analyst instead of the other way round.

ClaudeAzure OpenAICopilot StudioAgentforceAmazon BedrockAzure AI SearchEinsteinAI BuilderFirefly Services

Every engagement ships with the parts that make it deployable at scale: data residency and tenant boundaries agreed up front, an evaluation set before go-live, logging of what the model was asked and what it answered, a clear scope of authority you can widen with confidence as trust builds, and an architecture that lets you change models without rebuilding the application around them.

03 — People KNOW
So?

Anyone can be assigned to your project. Who should be?

The people on your project are the point.

Solira is deliberately small and deliberately senior. What you're buying is judgment — people who have built this before, know where it goes wrong, and will say so early.

i

Senior by default

Who scopes it, builds it

The architect who sits in your discovery sessions is the one writing the solution design and reviewing the code. Nothing gets handed down to whoever happened to be free that month, and nobody learns your platform on your budget.

ii

Certified and current

Maintained, not collected

Our consultants hold and renew the certifications that matter in each practice, and follow the release cadence closely enough to know what's changing next quarter — not just what shipped last year.

Power Platform Solution ArchitectAzure Solutions ArchitectFabric Analytics EngineerSalesforce Application ArchitectPlatform Developer IIAdobe Certified Expert — AEM Sites
iii

Domain fluency

We learn your business first

Good software follows a real understanding of how the work is actually done — including the workarounds nobody documented. We spend the early time with the people who do the job, not only the people who commissioned the project.

iv

Small teams, deep context

Continuity over headcount

Three people who understand your business will outperform twelve who understand your ticket number. The same team carries the engagement start to finish, so the context doesn't have to be rebuilt at every handoff.

04 — Working with us SERVE
So?

The build always ends. What happens in month six?

The service is the product.

Platforms are available to anyone. What clients stay for is how straightforward we are to work with — which comes down to four habits we hold ourselves to.

One lead who knows your account

A named senior contact who has your context in their head, reachable directly. No ticket queue, no account manager relaying questions to someone technical.

Working software, not status decks

You see something running every week. Progress is demonstrated rather than reported, which is also the fastest way to catch a misread requirement.

Plain answers, early

Estimates in ranges we'll stand behind, trade-offs explained in business terms, and difficult news delivered while there's still time to act on it.

We're there after go-live

Handover means your team can maintain it — documentation, working sessions, and someone who still answers the phone in month six.

05 — Contact BEGIN
So?

What are you actually trying to build?

Tell us what you're trying to build.

A process, a problem, or a half-formed idea — any of them is a fine place to start. You'll get a senior person on the first call, not a salesperson, and a straight answer on whether we're the right fit.

Office

99 Wall Street, Suite 645
New York, NY 10005