We help business leaders turn AI from a board-level topic into a line on the P&L. Faster operations, better decisions, lower costs — from a team that's been quietly shipping software for 12 years.
We've seen every AI buzzword burn through a budget. We don't lead with the technology — we lead with the business question. What's slow? What's expensive? What's your team doing by hand that they shouldn't be? That's where we start.
01
Outcomes, not demos.
Every engagement starts with one question: have I seen this work and shipped the project? If not, we don't propose it.
02
We'll tell you when not to use AI.
Most clients need better process, not AI. We'll say so — use better software, cleaner ops, or hire the right people first.
03
Built to work with your team.
No shadow IT, no black boxes. Everything we build integrates with your existing tools and your team actually understands it.
04
We stay after launch.
AI needs ongoing care. We monitor, refine, and keep improving what we built every quarter — we don't disappear after go-live.
Embedded AI directly into your CRM, ERP, or internal platforms. No new login. No change management. Just smarter versions of the tools your team already uses.
A marketing team that doubled its content output without extra hiring.
A mid-sized agency was bottlenecked by content production. We built an AI-assisted pipeline that handles research, brief creation, and first-draft generation — cutting production time by 60% without touching headcount.
2× content outputSame team size · 60% faster production cycle
Insurance · Claims
An insurer that handled 70% more claims with the same team.
Manual claims review was the bottleneck. We deployed a document AI system that reads, validates, and triages incoming claims automatically — escalating only what needs a human eye.
70% more claims processedZero increase in headcount · 40% reduction in processing time
Industries
Sectors we've served.
We work across industries where operational complexity is high and the cost of getting AI wrong is real.
"We got to know our business better than we did ourselves — they mapped our workflows and outcome that we don't think of."
Director of Technology
★★★★★
"We're always pleasantly surprised by the combination of their questions, professionalism, and development speed."
CTO, InsurTech Startup
★★★★★
"Very well organized — outstanding technical skills, team leads and team engineers. Delivered exactly what they promised."
Co-founder
Let's talk
Tell us where the friction is.
You probably already know which part of your business is slow, expensive, or painfully manual. Tell us what it is — we'll tell you honestly whether AI is the right answer, and what it would actually cost.
Most AI projects fail late, expensively, and quietly. Ours fail early and cheaply — or they pay back. Each phase has an explicit go / no-go. If the numbers don't work, we say so before you've spent six months on something that wouldn't have moved the needle.
Six rules we live by.
These aren't values on a wall. They're the operating constraints that shape every engagement — what we will and won't do, and why clients keep coming back.
01
The business question first. We refuse to scope work without an assessment. The cheapest way to waste a year is to start building before you understand the workflow you're trying to change.
02
The simplest answer wins. Sometimes the right answer is AI. Sometimes it's a counter-workflow, a better integration, or simply better hiring. The cheapest solution that hits your target wins.
03
Measure what matters from day one. If we can't agree on what good looks like before we start, the project has a budget — hours saved, errors caught, revenue won — that will be measured against.
04
People where they help most. Full automation is a destination, not a starting point. We design systems that augment your team and step back from the calls only humans should make — then graduate the rest as the system earns trust.
How we operate
The rules that shape every engagement.
Rule 01
The business question first.
We refuse to scope work without an assessment. The cheapest way to waste a year is to start building before you understand the workflow you're trying to change.
Rule 02
The simplest answer wins.
Sometimes the right answer is AI. Sometimes it's a counter-workflow, a better integration, or simply better hiring. The cheapest solution that hits your target wins.
Rule 03
Measure what matters from day one.
If we can't agree on what good looks like before we start, the project has a budget — hours saved, errors caught, revenue won — that will be measured against.
Rule 04
People where they help most.
Full automation is a destination, not a starting point. We design systems that augment your team and step back only as the system earns trust.
Rule 05
Operate, don't just deliver.
Real-world data changes. Documents change. Customers ask new questions. We stay after launch to make sure the value compounds — instead of quietly eroding.
Rule 06
Honest about limits.
If a project doesn't pencil out, we say so. We'd rather earn the next engagement from this one. You can stop after any phase.
The four phases
Stop anytime. No surprises.
Four phases, each with an explicit go / no-go. You'll know before you spend months on something that won't pay back.
Phase 01 · Weeks
2
weeks
assess.
We work with your operations. We look at the numbers. We walk the process end to end. The output is a written plan with a prioritised list of opportunities and an explicit recommendation on each: build, buy, wait, or skip.
Gate: If the opportunity meets the ROI threshold, the engagement stays here. We help the analysis to see between you like.
You walk away with
Workflow audit & bottleneck map
Data readiness review
Opportunity register (8–15 candidates)
Costed plan for the top opportunity
Phase 02 · Weeks
2–8
weeks
prove.
We build the smallest thing that proves the economics and tests on real data used by your real team. No demos — just a working system running against the targets we set in the assessment. By the end of this phase, you know with confidence whether the full rollout will pay back — before you spend a full budget on it.
Gate: If the pilot doesn't hit the agreed targets, we explain why and recommend what to do. No pressure to continue.
You walk away with
Working system on real data
Baseline metrics against targets
Integration plan
Team readiness report
Full rollout cost estimate
Phase 03 · Weeks
4–8
weeks
roll out.
Hardening, security review, integration into your stack, and the operational playbook your team will use after. We've treated this phase the way we've handled 367 prior projects — one that requires grace over results, security, and team readiness. We ship in stages, publish the dashboards, and train the team that's going to live with the system after launch.
Note: Tips off requires grace over results, security, and team readiness — not just a demo that works.
You walk away with
Live deployment in your environment
Monitoring & reporting dashboards
Operational playbook
Security & compliance review
Team training & full handover
Phase 04 · Ongoing
∞
ongoing
operate.
Some clients run large-scale value strategy. We stay on a quarterly cadence: review the numbers, tune what needs tuning, and report when it's doing — for doing for the business. Some clients run their own systems entirely with their own teams after handover. Others keep us on a small retainer. Both are fine.
Gate: Quarterly review with an explicit go/no-go continuing. If a system stops paying back, we'll be the first to say so.
You walk away with
Quarterly performance review
Drift & quality monitoring
Tuning & refinement cadence
Evolving success metrics
Strategic roadmap updates
What we do & don't do
Habits we've learned to refuse.
What we don't do
✕Skip the assessments. "Save time".
✕Quote before we understand the integration or cost.
✕Demo no cherry-picked examples and call it proof.
✕Ship without agreed measures of success.
✕Promote technical novelty as a business outcome.
✕We'd rather over-sell and disappear.
What we do instead
✓Start with a field-like assessment.
✓Add intelligence to systems you already operate.
✓Run proofs on full production data with real users.
✓Agree the target before we start.
✓Design systems that augment your team.
✓Commit to business metrics in writing.
✓Stay on a quarterly review after launch.
Starts with a thirty-minute call.
No slide deck. No pitch. We listen, ask hard questions, and tell you whether an assessment makes sense for the problem you have.
A short list of recent engagements — not a comprehensive one. We chose these because each one shows the operating model at work: a real business problem, a sensible solution, and an outcome someone other than us actually cared about.
01Retail & Marketing · 2025
A marketing team that doubled output without hiring.
We built a research-and-briefing assistant that finds the search terms most likely to convert, summarises what competitors are saying, and prepares a structured brief. The team kept full editorial control — the system removed the part nobody enjoyed.
MarketingKnowledge
+38%
Revenue from organic search
−72%
Time per brief
02Insurance · 2025
An insurer that handled 70% more claims with the same team.
Routine claims flow automatically. Complex ones land on a desk with the relevant policy clauses already pulled. Adjusters spend time on calls that need their expertise — not ones that need a checklist. Nobody got laid off.
AutomationInsurance
71%
Auto-resolved (up from 0%)
−43%
Avg. handle time
03Industrial · 2024
A production line that catches defects manual inspection missed.
We selected the right camera, designed the lighting, and trained the visual system to catch subtle defects at line speed without slowing throughput. The line never stopped. Customer returns dropped almost to zero.
ManufacturingVisual
99.2%
Defect catch rate
−86%
Customer returns
04Healthcare · 2025
Care coordinators answering with confidence — and a source.
We built a permission-aware system over their care guidelines, prior-auth criteria, and member history. Every answer is anchored to a specific paragraph. Auditors stopped flagging AI as a risk; staff stopped fearing it.
KnowledgeHealthcare
100%
Sourced answers
+27%
First-call resolution
05FinServ · 2024
The assessment that ended with "don't build this yet."
Two weeks in, we recommended they not build it. The bottleneck was data quality, not decision intelligence — AI would have hidden that problem in a more expensive way. They've since invested in their data layer.
AssessmentFinServ
No-build
Roadmap delivered
$1.4M
Estimated saving
06B2B SaaS · 2025
Sales reps got back an hour a day — and didn't complain.
We added call-transcription and structured summaries directly inside their existing CRM — one click, rep edits before saving. Adoption hit 84% because we didn't try to replace judgment. We gave them a better starting draft.
CRMIntegration
−68%
Note-taking time
84%
Adoption at 90 days
Industries we know well
Depth, not dabbling.
We go deep in a small number of sectors — enough to know what good looks like before we start.
12 yrs · 60+ projects
Healthcare
EHR-adjacent workflows, prior-authorisation, care coordination, member-facing services.
Five ways we help business leaders get real value from AI and automation. Each one is built around an outcome you can put on a slide — not a technology you have to explain.
A focused two-week engagement to identify where AI and automation would move the needle for your business — and where they wouldn't. No pitch. No commitment to build. We do this work first. Our team sits with your operations, reviews how the work actually gets done today, looks at the numbers, and ranks the opportunities by value, effort, and risk.
The safe way to start. Invited you can take to your board — and the option to stop right there if the business case isn't strong enough. About a third of our assessments end without a build. We consider that a success.
Workflow walkthroughs with the people who actually do the work
Opportunity register ranking 8–15 candidates by ROI
Cost and timeline estimates for the top three
Build / buy / wait recommendation for each opportunity
The work your team is doing by hand — copying reports, moving data between systems, routing requests, handling exceptions — done automatically, with people in the loop where they add value and nowhere else.
If you've tried to launch process automation before and walked away frustrated, you're not alone. Off-shelf automation breaks the moment a form field changes or a vendor updates an API. We build systems that tolerate change. That handle edge cases and understand documents, understanding intent, making the small judgment calls that used to require a human.
Document processing — analysis, claims, contracts, applications, forms
Email and payment handling — triage, routing, drafting responses
Cross-system workflows — CRM, ERP, Salesforce, HR, talk to each other
Approval systems with confidence-based routing
Full audit trail for every decision the system made
Easy rollback when something needs human attention
Turn your contracts, manuals, policies, tickets, and institutional knowledge into a system your team can actually ask. Answers come back with the source — so your team can verify, not just trust.
Every company is sitting on years of valuable knowledge — locked in PDFs, SharePoint folders, and the heads of people who've been there longest. We build systems that change that. They take with a plain-English question. The system reads the relevant documents, gives a clear answer, and shows exactly where it came from. Built with the access controls and audit trails your security teams need.
Internal staff systems with accurate, sourced answers
Contract and policy lookups for legal, compliance, and ops
Permission-aware — users only see what they should
Every answer cites the source — no black-box guesses
No question or an appeal deployment allows required
Catch defects, count inventory, monitor safety, and read operations using the cameras you already have — or that we'll spec and source as part of the engagement.
Every production environment is different. For twelve years we've proved that the designed custom cameras for industrial clients — the hardware, the optics, and the software all pulled from. That means when we build a visual AI system, we know exactly what the camera can see, how reliably, and at what cost. The result is a system that sees the real world — no prototypes, at a fraction of the cost.
Quality inspection on production lines, at line speed
Inventory and asset tracking in warehouses and retail
Safety monitoring — PPE, hazards, access control
Customer flow and operations analytics for retail and venues
Edge or cloud — we'll recommend honestly which fits
Camera selection or design when off-the-shelf won't do
You probably don't need a new platform. You need your CRM to summarise calls. You need your ERP to flag exceptions. You need your inbox to draft and route and summarise, not to sit there waiting to be managed.
The teams most likely to adopt AI are the ones that don't have to change tools to use it. The fastest build is usually telling AI features inside tools your team has been already using. We've been building AI integrations into off-the-shelf systems for over a decade — so we know how to do it without breaking what works. This is the lowest-risk, fastest-ROI place to start. We can usually have a working prototype on the screen within a fortnight.
Thirty minutes on the phone. No slide deck. We'll ask about the work that's slow or expensive, share what we'd try, and tell you honestly whether we're the right team for it.
Tell us a few things about your project. A principal will read it personally and respond within one business day — usually the same day. No SDR will call you.
What happens next
01
A principal reads your message. We pair you with the lead from the right practice — not whoever picks up the phone.
02
A 30-minute consultation. No slide deck. We listen, ask about the friction in your business, and tell you whether we're the right team.
03
NDA, if your project requires one. Most do. We have a standard one ready, or we can sign yours.
04
Written proposal. Scope, team, timeline, fixed fee on the assessment, and a clear business case.
PieSoft.ai is not a startup. It is the AI automation practice of PieSoft — a 150-person product engineering company with twelve years of shipping CRM, ERP, embedded, and custom-camera systems for healthcare, insurance, retail, and industrial clients.
Why a separate brand
AI deserves a different conversation.
For most of our history, AI was one capability among many — bundled into custom software engagements when the problem genuinely needed it. The market has changed. Boards are asking about AI strategy. Procurement teams are evaluating ten platforms a quarter. And a lot of buyers are getting sold technology before anyone has asked what business problem it's solving.
We launched piesoft.ai to do that work in the open: scoped, measured, and honest. Same engineers, same operating standards, sharper focus on a specific kind of engagement.
Everything else about us is the same as the parent firm. The headquarters in Bethlehem, the European delivery hub in Gdańsk, the 4.9 average on Clutch, and the operating model that's been refined across three hundred and sixty-seven shipped projects.
2013
Founded
150+
Engineers
367
Projects shipped
2 cont.
USA & Europe
Where we are
Two offices, one engineering culture.
HQ · Bethlehem, PA
Bethlehem · HQ
Bethlehem, Pennsylvania
Headquarters — client-facing leadership, principal engineers, and our discovery team.
