Summit Task is a software systems architecture firm that gives you the most current AI-driven options for your tech stack, serving commercial and enterprise construction, field service, and related industries. We start with discovery — structured interviews with your team to understand how work actually happens and what software you’re running today — then translate those findings into a clear set of requirements for the path forward.
From there, we project-manage the build: implementing the right combination of platforms across CRM, field service, project management, HR/payroll, and accounting to create your ideal tech stack, and planning and managing the migration from your old systems into the new architecture, because every business runs on its own unique mix of systems, not a template.
For companies that want an ongoing partner, we can also step in as an Embedded Partner, handling daily process tasks directly — like an internal team member, not an outside consultant.
As a field-based or trades business grows, the same pattern tends to show up: field service or CRM software runs in one system, project management lives in a second tool or a spreadsheet, and payroll and accounting run in a third system that doesn’t talk to either of the others.
Job costs get updated days after the work happens instead of in real time. Reports get compiled by hand instead of generated automatically. Billing lags because someone has to manually reconcile what a crew actually did against what gets invoiced.
And because the underlying data is scattered and inconsistent, any AI tool layered on top scheduling assistance, an agentic CRM feature, automated reporting produces unreliable output, because AI is only as good as the data underneath it.
planning a company’s optimal software stack, process management, system integration, project management, RevOps, custom AI agents, and HR and accounting integrations, then staying involved to run it.
When field service, project management, and accounting share data instead of requiring manual re-entry, your job costs reflect what's actually happening on site rather than a weeks-old estimate, and billing cycles compress because invoicing no longer waits on manual reconciliation. That's not just cleaner reporting — it's margin you'd otherwise lose without ever seeing it: unbilled change orders, labor overruns caught after the job's already closed, and cash sitting uninvoiced longer than it needs to. Catching that gap in real time, while there's still a job to correct, is money that stays in the business instead of quietly leaving it.
Well-designed project management and process automation cut out the back-and-forth that slows a team down day to day: work routed automatically instead of chased down, status that updates itself instead of requiring a phone call, a project plan that reflects what's actually happening on the ground instead of what was scheduled weeks ago. Every hour that used to go into manually compiling reports, re-entering data between systems, or chasing down a job-cost discrepancy is a fully-loaded labor cost you were paying regardless — and one that scales with headcount as you grow. Removing it doesn't just free up time; it means you can take on more work without proportionally adding people to run it.
Scheduling optimization, predictive maintenance, automated reporting, and other agentic tools are only as reliable as the data they run on. Bolting AI onto disconnected systems, or wiring them together with undocumented point-to-point automations, produces output nobody trusts enough to act on — and money spent on AI tools that don't get used is money wasted twice. Fixing the process and data layer first, with integrations built to last rather than duct-taped together, is what turns AI adoption into something that actually pays off instead of another line item on the software budget.
The stack that runs a single-location business doesn't survive a second location, a new service line, or an acquisition without someone re-doing the integration work from scratch — and that rebuild tax shows up right when growth should be paying off, not costing more to manage. Because the architecture is chosen platform-agnostically, for what your business actually needs rather than one vendor's product roadmap, adding a location, a division, or a newly acquired company means extending a system that's already built to take it, not starting over. For a business weighing organic growth, a roll-up strategy, or life inside a PE-backed platform, that's the difference between systems work that's a one-time cost and systems work you keep paying for at every stage of growth.
Mikaela is one of those independent consultants every consulting firm would love to work with full time. She works clean, supports her clients, and implicitly knows how to manage them. Mikaela keeps the final outcome of the project at the forefront of her mind when delivering and this makes everyone on her team focus to get a great outcome.
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Sr. Business Analyst
Mikaela is a very detail-oriented Salesforce consultant. When I shared projects with her I was always very impressed with her work as it was efficient, well thought through, and organized. It’s important that everything is thought through in a design and I always felt that she had solid design strategy.
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Mikaela completed a six week review of our SFDC CRM and Community. The goal was to review our current implementation and make recommendations to ensure we were following best practices and stable for quick future growth. During this effort Mikaela met with over 16 people from every dept. of our company in multiple time zones.
Innovation & Capability
Mikaela is phenomenal when it comes to gathering the requirements for a successful implementation of Salesforce.com, and driving a project through to implementation, testing, and launch. She has a patient way of helping the most challenging groups continue to make progress at a steady pace, which can be extremely challenging considering the various key stakeholders that will likely be involved.
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