Your dedicated team
At $8,000/month, get a dedicated senior developer and QA engineer, with 4–8 hours/week of senior technical oversight included, agreed around scope and complexity. Each engineer works 40 hours/week, only on your engagement. Standard term: 3 months ($24,000), with a first-month delivery checkpoint.
Interview and select your engineers. They join your backlog, tools, and working rhythm. You set priorities and approve releases.
The ongoing work
Agree working hours, delivery responsibilities, and how completed work will be checked. Your priorities guide the backlog as the work changes.
The team builds and tests in your systems. You see what the team is working on every day. Review working demos, test results, and problems that need a decision on your schedule.
Our team uses AI to accelerate implementation, testing and review, within your approved tools and data access. We understand where it falls short. Every change must meet your agreed code-review, testing and acceptance standards before it is ready for your release decision.
The standard minimum term is 3 months at $8,000 USD/month ($24,000 total), with a first-month delivery checkpoint. Agree the deliverables and acceptance criteria before work starts.
If the agreed deliverables aren’t met, you can end after month one without notice or payment for the remaining two months. The first month is payable unless we agree different payment terms in writing before work starts.
Standard cancellation notice is one month; the notice period is negotiable. The checkpoint exit requires no notice. Leadership references are available on request. Private client work is not shared. We sign a mutual nondisclosure agreement (MNDA).
Your security and compliance requirements govern the working environment, access, and permitted AI use. Keep your existing devices and accounts, or let Mottobits arrange procurement with itemized costs and your approval before purchase. You fund devices, tools, licenses, AI subscriptions, and cloud usage separately from the team fee.
Your named Mottobits lead is responsible for the agreed delivery, verification, and communication. The lead facilitates delivery, conducts internal code reviews, and checks adherence to your standards. The weekly allocation is agreed around scope and complexity; the lead is not a full-time role. Specialist investigations and extra capacity are quoted separately.
Offshore work. Clear commitments.
Agree the people, delivery responsibilities, working hours, and controls before the team starts.
Your Mottobits lead is responsible for the agreed delivery, verification, and communication. The lead facilitates delivery, conducts internal code reviews, and checks adherence to your standards. You set priorities; we report progress and blockers. Raise concerns directly in Slack. Actionable feedback is welcome.
Your senior developer and QA engineer each work 40 hours/week, only on your engagement. Senior technical oversight is included for 4–8 hours each week, agreed around scope and complexity. The lead is not a full-time role.
Your security policies govern devices, identities, access, and data boundaries. You approve the tools and AI services, including what code and data they may receive. Use your existing setup or ask Mottobits to arrange procurement; you fund and approve itemized costs before purchase.
Agree the required cover and limits, and review the insurance documentation before signing the engagement.
Agree working hours and overlap before work begins.
Bring us the problem
Choose the business problem, agree a bounded change, and decide what evidence will show it works.
Keep delivery moving
Recurring failures need focused engineering attention. A dedicated developer and QA engineer work through the queue you prioritize, using your tools, standards, and release process.
For an order that will not save, we reproduce the problem with approved test data, make the smallest useful fix, and add a regression test that fails before the fix and passes after it. We check the affected order workflows and link the ticket to the reviewed pull request and test results.
We build system knowledge through small, verified changes. If access, missing evidence, or a wider dependency blocks an issue, we record it and agree the next useful item. You approve releases on your schedule.
After release, we work with support to confirm the affected workflow and track repeat reports. You can see what was reproduced, changed, tested, released, and still needs attention.
Discuss your issue queueA ticket such as “fix order export” leaves important decisions open: which code may change, what the output should contain, and how to check it. We inspect your codebase and turn your priorities into focused agent tasks.
For an export fix, we inspect the actual export path and define the expected columns and values. Unrelated exports, schema changes, and permission changes remain outside scope unless you approve them. Tasks follow your engineering standards and approved agent skills.
In the agreed trial, we use your approved agent setup and test data, inspect the resulting diff and output, and correct ambiguous instructions. Blockers and unresolved questions stay visible for your reviewers.
You receive reviewed task files and evidence from the agreed trial runs. The free agent kit provides a starting template; this engagement adds codebase inspection, engineering review, and tested instructions. You choose the priorities.
Discuss your agent-ready backlogConnect AI to useful work
Your assistant needs a dependable way to check an order or retrieve a case. We build a Model Context Protocol (MCP) server for your chosen business functions, using the official C# SDK in your approved environment.
For a read-only order-status tool, we define an input schema requiring an order ID and an output schema containing the approved status fields. We authenticate the caller, validate the request, and check access before returning the record. Supplying an order ID does not grant access to it.
We test permitted access, cross-tenant denial, malformed input, missing records, and upstream timeouts through your chosen client. Write operations and human approval rules are agreed separately.
You receive reviewed server code, typed input/output schemas, access and failure test results, and a working client call. That gives your team a concrete basis for deciding which business function to connect next.
Discuss your MCP serverGathering records, preparing a recommendation, and chasing approval can take more effort than the final update. We build a .NET workflow in Microsoft Agent Framework around your approved models, tools, and data.
For a support-case update, the workflow validates the case ID, reads accessible records, and prepares a proposed change. The reviewer can approve, reject, or request a revision. We enforce the approval check before the write and test that the saved change matches what was approved.
We implement checkpoint storage for your deployment and test interruption, resume, unavailable data, repeated approval responses, and duplicate-write handling. Rejection and cancellation tests check that the pending update leaves the record unchanged. Recovery behavior is verified in the agreed environment.
You receive reviewed workflow code, evaluations against representative tasks, approval and denial tests, and run records showing what ran, what was approved, and what changed. Your team can assess the workflow before extending its responsibility.
Discuss your agent workflowControl Azure operations
If your primary Azure region becomes unavailable, how does order entry recover? Start with the workflow your business needs, how long it can be unavailable, and how much recent data you can afford to lose.
We agree acceptable downtime (recovery time objective, RTO) and acceptable data loss measured in time (recovery point objective, RPO). Then we map the application's data, identity, routing, and external dependencies.
High availability keeps service running through the failures the design covers. Disaster recovery restores service when that protection is insufficient. We identify which failures each must cover, compare recovery options, and estimate their operating costs.
For separately scoped implementation and drills, we build the agreed design and rehearse recovery in an approved environment. We check that people can sign in, access the right records, and complete new orders. We measure recovery time and data freshness against your objectives.
Recovery also needs a route back. We rehearse failback and check what happens to orders created in the recovery region. You approve test windows, expected disruption, and traffic changes.
A reviewed design, cost estimates, and runbooks. Agreed drills add measured recovery and failback times, workflow and data checks, and unresolved gaps your team can act on.
Discuss your Azure recovery strategyA higher bill may reflect more demand, unused capacity, or work that takes more resources than it should. We connect spending to one business workflow so you can decide where a change is worth testing.
We establish a baseline using Microsoft Cost Management and workload measurements. For a scheduled job, that means cost per completed run, data volume, runtime, and failures. Shared resources use an agreed allocation basis.
Azure Advisor recommendations help identify candidates. We check them against actual demand and rank changes by estimated saving, effort, and operating tradeoffs. The first change might be a resource size, a schedule, or inefficient application work.
Before implementation, we agree the performance, recovery, and security requirements the change must satisfy. Implementation is scoped separately; purchases and spending commitments need your approval.
For an approved change, we repeat the workload and compare costs at similar demand. We use a consistent actual or amortized cost basis and account for price changes, discounts, and credits. We also check completion times, failures, and workflow correctness.
Ranked opportunities with estimated savings and tradeoffs. Approved changes add before-and-after measurements showing what changed. Estimated savings stay separate from observed charges, and charges that are not final remain labelled provisional.
Discuss your Azure costsMinimum engagement: $8,000 USD. The $8,000/month dedicated team is one option; specialist work, scope, duration, and total price are agreed separately. Work runs in your approved environment. You fund devices, licenses, tools, AI subscriptions, and cloud usage; Mottobits can arrange procurement with itemized costs approved before purchase.
Where the workflow needs managed models or agents, we can integrate Microsoft Foundry .NET SDKs within the agreed scope.
Talk to Mottobits
Share the application, priorities, and working hours you need. Agree working hours and overlap before work begins.
