Agent Build Sprint
The flagship.
- Manual handoffs cleaned, AI added where it pays back
- Full integration into your existing stack
- 30-day post-launch stabilisation included
6 weeks · fixed fee, scoped on the call
Agent Build Sprint · 6 weeks · fixed fee
Six weeks. Fixed fee.
Two to three production agents.
Not prototypes. Not demos. Working systems your team trusts on day 30.
Who it's for
Three signals you're a fit.
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You've already tried and failed.
You've prompted ChatGPT, you've prototyped in n8n, you've maybe paid an AAA. The agent kind of works until it doesn't. You need someone who'll ship it for real.
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The workflow is painful and recurring.
It happens weekly or daily, costs senior staff time, and is the same shape every time. You can describe it in two sentences.
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You can name the cost.
You can say roughly how much the workflow costs in hours and dollars per month. If you can't, the Audit comes first.
Week by week
Six weeks, mapped.
- Week 1
Solution architecture & scoping
We confirm the workflow targets, architect the integrations, and lock the scope. You sign off before any code is written. If we discover the scope is wrong, we say so on day 5, not day 30.
- Weeks 2–4
Build
Production agents built using Claude or OpenAI APIs, n8n or Make.com for orchestration, custom Python where the off-the-shelf falls short. Full integration with your CRM, email, file storage, and comms tools. Security and access control configured to your org's policies. Two team training sessions included.
- Weeks 5–6
Stabilisation & handover
30-day post-launch stabilisation. We monitor, fix edge cases, retrain prompts, and adjust orchestration as your team uses the system. Documentation and full handover at the end of week 6. You own it on day 31.
What we build with
Production tools, not demo tools.
LLMs
Claude (Sonnet, Opus), OpenAI (GPT-4 family)
Orchestration
n8n, Make.com, custom Python where complexity demands it
Integration
CRM (HubSpot, Salesforce, Pipedrive), email, file storage (Drive, Dropbox, S3), comms (Slack, Teams)
Data
Supabase, Postgres, customer data warehouses
Security
OAuth flows, secret management, access control configured per your IT policy
Observability
Logging, audit trails, error alerting before handover
Why most builds break
Adoption is the work.
The week-three problem.
Most AI agency builds break around week three. The agent worked in the demo. It worked in UAT. Then real users hit it with edge cases nobody scripted, the prompts started drifting, the integrations started timing out, and the team quietly went back to doing it manually. The build got rolled back, $40K written off, and the buyer concluded "AI doesn't work for us." That's not an AI failure. That's a stabilisation failure.
What stabilisation actually means.
Weeks 5 and 6 of every Build Sprint are reserved for stabilisation. We monitor every agent execution. We catch the edge cases your team finds. We retrain prompts as patterns emerge. We adjust orchestration when integrations misbehave. We sit alongside your team for 30 calendar days while they adopt the system. Day 31, you own it.
What we do in those 30 days
- ›Daily monitoring of every agent execution
- ›Edge-case capture and prompt iteration
- ›Integration fixes (rate limits, timeouts, schema drift)
- ›Two additional training sessions for your team
- ›One executive readout at day 30 with adoption metrics
After the sprint
Optional ongoing engagement, no lock-in.
After the 30-day stabilisation, you own the system. Most clients run it from there. A subset prefer to keep us on for ongoing optimisation, agent updates, and quarterly capability reviews. We don't sell a retainer to make the sprint cheaper. We sell a sprint that ships. The optional engagement exists for clients who want continuity.
Optional ongoing engagement
- Scope: ongoing prompt and orchestration tuning, monthly review, quarterly capability assessment
- Billing: monthly, scoped per client
- Cancel: any time, no lock-in
- Pricing: discussed on the Strategy Call
Illustrative build
What a Build Sprint actually delivers.
74%reduction in manual brief handling
$34Kannual cost recovery
4.9 mopayback period from launch
A 60-person marketing operations agency processing 1,200 campaign briefs per year. We built an AI agent that classified, routed, and pre-checked compliance for 74% of inbound briefs. The remaining 26% — genuine edge cases — still go to humans. The payoff starts on day 31.
Apply for the Build Sprint →
Build Sprint FAQ
Questions worth asking.
What's the scope of a fixed-fee Sprint?
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The base fee covers two production agents with standard integrations. Three agents, complex multi-system orchestration, or strict compliance environments (regulated industries) sit at a higher fixed fee. We scope and quote on the kickoff call. Once quoted, the fee is fixed.
Do we have to do an Audit first?
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No, but most clients should. If you can already name the workflow, the volume, the cost, and the integration points in two sentences, you're ready for a Sprint. If you can't, the Audit gives you those numbers in two weeks.
What if the agent can't handle my workflow?
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That's what week 1 is for. We architect, validate, and confirm scope before any code is written. If we discover the workflow isn't a fit for AI, we say so on day 5 and refund the engagement minus the architecture fee. This has happened twice. We refunded both.
Can we use our own LLM provider or on-prem stack?
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Yes. Claude, OpenAI, Anthropic via AWS Bedrock, Azure OpenAI, on-prem Llama deployments. We've worked with all of them. Tell us what your IT policy requires and we'll architect to it.
What happens if my team breaks the system after handover?
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Documentation, training, and the 30-day stabilisation mean your team should be able to maintain the system. If something breaks within 90 days of handover that's traceable to our build, we fix it free. Beyond 90 days, an optional ongoing engagement covers it; otherwise we quote a fix-rate.
Six weeks. Fixed fee. Working systems your team trusts on day 30.
We run two Build Sprints in parallel max. Schedule a Strategy Call to see if there's capacity.