Forward-deployed AI workflows
AI that earns its keep.
Taldyn works directly with operations teams to turn manual workflows into production-ready automations, agents, integrations, and internal tools.
We build around the systems you already use, so you can deploy practical AI without hiring an internal AI engineering team.
RequestScopeApproveShip
- Technician Notes → Invoice ReadinessIn QA · 5 credits
- Cross-Branch Exception ReportAwaiting Approval · 8 credits
- Warranty Document RoutingIn Delivery · 7 credits
Representative data — this is what a build lane looks like
Built for operations teams with recurring workflow backlog.
Taldyn works best when your company has repeatable operational work that keeps getting discussed, manually managed, or delayed because nobody has the internal capacity to build the solution.
- ▸Multi-location field-service operators
- ▸Companies with three or more branches or brands
- ▸ServiceTitan or comparable FSM users
- ▸PE-backed or acquisitive service platforms
- ▸Central operations or shared-services teams
- ▸Companies with a workflow they want changed within 90 days
- ▸Companies able to invest $5K–$15K per month
- Pre-revenue startups
- Single-location owner-operators
- One-off chatbot requests
- AI training-only engagements
- Companies without a workflow owner
- Companies only exploring AI
- Full ERP or FSM replacements
- Large custom SaaS builds disguised as pod work
A pod works when there is a real workflow, a real owner, and a reason to ship.
If you're in the left column, book a workflow call. If you're in the right column, we are probably not the right partner yet.
Your operations have outgrown the way the work gets done.
The problem is rarely a lack of software. It is the manual work between the systems: people copying data, rebuilding reports, cleaning technician notes, chasing documentation, and handling exceptions differently at every branch.
Revenue and cash-flow drag
- ▸Incomplete job information delays invoicing
- ▸Follow-up varies by location
- ▸Membership and service-agreement exceptions are missed
- ▸Revenue leaks between field operations, customer experience, and finance
Administrative overload
- ▸Technicians and office staff duplicate work
- ▸Notes, permits, warranties, and customer updates are handled manually
- ▸People spend hours reconciling information across systems
Multi-location inconsistency
- ▸Branches use different processes
- ▸Acquisitions introduce new systems and data definitions
- ▸Leadership lacks one operational view
- ▸Shared-services teams rebuild the same reports repeatedly
You do not need more AI ideas. You need one important workflow rebuilt properly.
One controlled path from request to production
Every build starts with a written scope and a fixed credit value. You approve outcomes, not timesheets.
Request
Send us the workflow or internal tool you want built in plain English.
Scope
We define the outcome, deliverables, dependencies, acceptance criteria, delivery window, and fixed credit value.
Approve
You approve the written scope before credits are reserved or work begins.
Build
We develop, integrate, evaluate, test, document, and prepare the workflow for release.
Accept
Credits are consumed when the deliverable meets the approved acceptance criteria.
Improve
We measure usage, review failures, and prioritize the next workflow.
- ▸Job-note ingestion from your FSM
- ▸Structured job summary output
- ▸Missing-information detection rules
- ▸Exception routing to an office review queue
- ✕Invoice generation
- ✕Pricebook changes
- ✕Customer-facing messaging
Accepted when closed jobs produce a structured summary with missing items flagged and routed for office review.
Every request gets a scope like this before any credits move
Common first builds
Most clients start with one painful, repeatable workflow where manual work slows invoicing, dispatch, closeout, reporting, or multi-location operations.
Technician Notes → Invoice Readiness
Turn inconsistent field notes into structured job summaries, identify missing information, and route exceptions for office review.
Cross-Branch Operating Summary
Combine field-service, phone, and finance data into a daily exception-focused report with assigned owners.
Warranty and Permit Routing
Identify required documentation, organize files, and route incomplete items before job closeout.
Dispatch Exception Assistant
Summarize capacity, skills, schedule, and SLA conflicts so dispatchers can make faster decisions.
Membership Renewal Exception Queue
Identify accounts requiring intervention and route them to the right branch or owner.
Acquisition Onboarding Workflow
Standardize data mapping, job types, customer records, and operating definitions for newly acquired locations.
Pricebook and Data Drift Monitor
Detect differences across branches, brands, or operating systems before they affect reporting or margins.
Executive Operations Reporting
Turn disconnected operating data into recurring summaries focused on exceptions, trends, and required actions.
Choose your build lane
Start with one focused workflow lane. Scale credits as the backlog proves itself.
All pods start with a 90-day commitment so we can map the backlog, ship the first workflows, and prove the delivery lane works.
Best for one focused AI workflow lane.
- ▸Request intake
- ▸Credit-based scoping
- ▸Build + QA
- ▸Basic documentation
- ▸Two working sessions/month
- ▸Monthly impact summary
Best for companies with a recurring AI workflow backlog.
- ▸Weekly delivery call
- ▸1–2 shipped workflows/month depending on scope
- ▸Training handoff
- ▸Priority backlog review
Best for multiple priorities, locations, or stakeholders.
- ▸Biweekly demos
- ▸Expanded delivery capacity
- ▸Monthly executive report
- ▸Roadmap for next build cycle
Note — A credit is a unit of scoped delivery complexity, not an engineering hour. Every request gets a fixed credit value you approve before work begins.
Third-party tools, model usage, enrichment, hosting, and client-specific software costs may be billed separately when required.
Not sure which lane fits? We'll scope your first workflow on the call.
View full pricing details›Six companies. Ninety days. One workflow that should already exist.
$4K/month for the first 90 days · 10 credits per month · one active workflow lane · direct founder involvement. No more than 2 new founding clients start per month.
Standard renewal is $5K/month after the first 90 days. Renewing founding clients keep the $5K Nexus Build rate protected for 12 months.
How we deliver
A forward-deployed engineer combines operational discovery, technical architecture, and production delivery — working directly with your team to understand the workflow and build the solution around the reality of the business.
Observe
Understand how the workflow actually operates, including exceptions, workarounds, decisions, and handoffs.
Design
Determine what should remain deterministic, what requires AI judgment, and where a human must approve.
Deploy
Build the integrations, workflow, evaluation layer, logging, documentation, and controlled release.
Improve
Measure adoption, cost, revenue impact, risk, failures, and the next bottleneck.
Example deployment patterns
Representative workflows Taldyn can scope, build, and operate for multi-location field-service companies — built around your FSM, phones, and finance stack.
Field-to-Office Automation Layer
Technician notes become structured job summaries with missing-info detection, warranty and permit routing, and exception queues the office actually works.
Cross-Branch Operating Console
Field-service, phone, and finance data combined into daily exception-focused summaries with assigned owners — one operational view across every location.
Acquisition Onboarding Workflow
Data mapping, pricebook normalization, job-type standardization, and operating definitions for newly acquired brands and branches.
Membership & Renewal Exception Queue
Service-agreement accounts that need intervention identified automatically and routed to the right branch or owner before revenue leaks.
Executive Operations Reporting
Disconnected operating data turned into recurring summaries focused on exceptions, trends, and required actions — with a human owner on every item.
Every pod runs on written scopes, approved credits, visible delivery, and documented handoff.
We design deployments around your data requirements, approved vendors, and security constraints. For sensitive workflows, architecture is reviewed before build and may require separate scope. Where required, workflows can include access boundaries, human approvals, audit trails, and vendor settings that prevent model training on client data.
Deliverables, acceptance criteria, and dependencies defined in writing before work starts.
You approve the written scope; credits are reserved before anything gets built.
Review points and approval gates wherever judgment or risk lives — automation with a steering wheel.
Your systems, your credentials, your access boundaries — you decide what we can touch.
Demos and delivery status on a weekly rhythm — you always know what's shipping.
Every build is tested against its acceptance criteria before you ever see a demo.
Every build ships with documentation, training handoff, and documented assumptions.
Sensitive workflows get an architecture review before build — and may require separate scope.
Founder-led delivery. No handoff maze.
Taldyn is a new company built by experienced AI, cloud, automation, data, and software operators — senior, US-based, no offshoring. We are currently selecting our founding clients and documenting the first Taldyn-branded deployments. You are not buying a black-box agency queue. You are buying a controlled build lane with clear ownership.
Questions? We have answers.
A recurring AI implementation lane that scopes, builds, evaluates, and deploys approved workflows.
No. Credits represent scoped delivery complexity, not time at a keyboard.
Credits are reserved on approval and consumed when the deliverable meets the approved acceptance criteria.
In-scope corrections do not consume additional credits.
Yes. Monthly credits reserve continuous delivery capacity, not a guaranteed number of completed workflows.
Up to 25% may roll into the next billing period and then expire.
The work can move to the next month, be reduced in scope, use approved overage credits, or trigger a plan upgrade.
The client owns paid deliverables, subject to third-party platform and software terms.
Model usage, hosting, enrichment, licenses, and client-specific third-party costs may be billed separately with approval.
Multi-location operators with a recurring workflow backlog, a named owner, and a reason to ship within 90 days.
Ready to ship the first workflow?
Limited pod capacity. Best for teams ready to ship in the next 30–90 days.
Taldyn gives the work an owner, a build lane, and a deployment loop — and does not stop after the first launch.
Open a channel with Taldyn.
See Example Builds ›Not ready to talk? Start with the AI Readiness Playbook ›Same automation ideas every quarter, nothing ships? That is an ownership problem — and exactly what a pod fixes.