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ThinkscoopEngineering
EngagementsCapabilitiesWorkApproachNotesAboutStart a build
EngagementsCapabilitiesWorkApproachNotesAboutStart a build

Thinkscoop Engineering

Senior engineers, AI augmented. Not AI washed.

Engagements

  • AI MVP Sprint
  • AI Integration Pod
  • Agentic Workflow Build
  • Embedded AI Pod
  • All four, with prices

Capabilities

  • Retrieval and context
  • Evaluation and quality gates
  • Agent orchestration
  • Guardrails and escalation
  • Observability, cost and drift
  • Product and platform engineering

The practice

  • Engineering home
  • Delivered work
  • How we work
  • Engineering notes
  • About the practice
  • Questions we get asked
  • Start a build

Reach us

contact@thinkscoopinc.com

Other practices

  • Business Applications
  • Growth
  • Thinkscoop, the parent company

Legal

  • Privacy policy
  • Terms
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Thinkscoop Technologies LLPTeam based in India. Clients across the US, Australia and the UAE.
Engineering/Engagements

Four engagements, priced.

Each one is a different answer to a different question: does this work at all, can it go into the product we already ship, can this process run without people, and who keeps it running afterwards.

01

AI MVP Sprint

$25k to $40k6 weeksFounders at seed or pre-seed, and innovation teams inside larger companies who need a working system rather than another deck.

02

AI Integration Pod

$60k to $120k8 to 12 weeksSeries A to C SaaS companies adding AI to a product that already ships, where the risk is regression rather than novelty.

03

Agentic Workflow Build

$150k to $300k12 to 16 weeksMid market and enterprise operations owners where a process spans several systems, runs at volume, and cannot be automated with rules because the inputs are messy.

04

Embedded AI Pod

$18k to $32k per monthThree month minimum, then rollingPost Series B SaaS and enterprise teams running AI in production who need capacity that already knows the system rather than capacity that has to learn it.

USD, always. Model provider and infrastructure costs are billed to your own accounts rather than through us, so there is no margin on your usage.

01AI MVP SprintOne AI product idea taken from a blank repository to something real users can use, in six weeks, on your cloud account.7 scope lines · 4 stated exclusions · 5 deliverables02AI Integration PodAI features built into a product that already has customers, without destabilising the thing they are already paying for.8 scope lines · 4 stated exclusions · 5 deliverables03Agentic Workflow BuildA multi step workflow that currently runs on people, rebuilt as a system that acts, checks itself, and hands off cleanly when it should not act.9 scope lines · 4 stated exclusions · 6 deliverables04Embedded AI PodA standing engineering capability inside your team, for the year after the build when the interesting problems start.8 scope lines · 3 stated exclusions · 4 deliverables

$engineering / pricing

The questions those figures produce.

Why publish the ranges at all?

Because the alternative is that an engineering leader with a real project has to sit through a discovery call to find out whether the number starts with a two or a two hundred. Both sibling practices at Thinkscoop publish theirs. Withholding it filters for patience rather than for fit.

What moves a quote inside the range?

The number of external systems that have to be integrated, whether the build has to run inside your own tenancy from day one, how much of the process exists only in people's heads at the start, and the size of the compliance surface. Not how large your company is.

What do the figures exclude?

Model provider and infrastructure costs, which you pay directly on your own accounts, so there is no margin on your usage and no incentive for us to be relaxed about your token spend. Third party licences are also yours and named in the scope before signature.

How is it billed?

The sprint is fixed fee in instalments against milestones. The integration pod and the workflow build are billed monthly against a fixed capacity, with the workflow build carrying a stopping point at the end of design. The embedded pod is monthly in advance, three month minimum, then rolling with 30 days notice. USD throughout.

Not sure which of the four it is?

Most briefs arrive as one and turn out to be another. Describe the problem and you get a written view of which it is, and whether it is one at all, within a working day.

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