AI Services
AI readiness, implementation, training, and custom agent systems designed to drive measurable business outcomes.
Operating-system mark · indigo bindu
Operating-system mark · indigo bindu
What this solves
- 01Unclear AI priorities and tool selection
- 02Low team confidence in real-world AI usage
- 03No governed architecture for AI agents
Three layers, one agent stack.
Anatomy
Three layers, one agent stack.
Every agent we ship is a combination of a model, an ability layer, and the surface it runs on.
- Model
- Claude, GPT, Gemini, and local open-source weights. The brain. We pick per job and keep the cost curve honest with caching and batching.
- Ability
- Retrieval, memory, tool use, voice, and vision. The body. What the agent can read, recall, call, hear, and see inside a bounded loop.
- Surface
- Web, MCP servers, email, phone, CRM, and Notion. The environment. Where the agent meets your customers, your team, and your systems of record.
What you get
How the engagement runs
Click any phase to see what ships
Proof
- Agent systems with explicit escalation rules
- Training frameworks that reduce AI misuse
Recent work, sampled
3 artifactsAgent run receipt
image · pending
Tool-call transcript
image · pending
MCP server dashboard
image · pending
Breadth and depth
No single-modality blinders. We pick the modality that matches the job, run it end to end, and keep the receipts. Everything below has shipped in a real client context or on our own stack.
Text and reasoning
Long-context synthesis, extraction, classification, agentic planning.
- Claude Opus 4.6
- GPT-5.4
- Gemini 2.5 Pro
Voice
Inbound triage, outbound follow-up, real-time transcription into structured handoffs.
- Mic capture + diarization
- Intent extraction
- CRM handoff
Image
Brand imagery, product renders, and vision tasks used inside agent loops.
- Generation
- Vision input for agents
Video
Short-form clips, edits, and synthetic b-roll. Review pipelines with human sign-off.
- Short-form generation
- Cut-and-caption workflows
Audio and music
Voiceover, podcast-style audio, music beds for ad creative.
- Voice cloning (consented)
- Music beds
Code
Generation, refactor, test, and review loops running inside agent harnesses.
- Claude Code
- Codex
- Cursor
Avatars and 3D
Talking-head avatars and 3D scene assets for pitch and sales material.
- Talking-head avatars
- 3D scene assets
Lab programs
Anthropic
User research and early-access programs.
OpenAI
User research and beta programs.
Early access to AI product programs.
Perplexity
Insider programs and feedback cycles.
Why this matters
Principles
Model, harness, environment
Most AI work confuses the three. The model is the brain, the harness is the body, the environment is the world it operates in. Most failures live in the harness or the environment, not the model.
Diagnose before you prescribe
Until we see the actual failure happen, we are guessing. Logs, traces, and receipts beat opinions. The fix usually sits one layer away from where the symptom showed up.
Start tight, expand on receipts
Less is more with agents. The smaller the surface area, the more reliable the loop. We start tight and expand only when the receipts justify it.
6 options
Packages
Pick one to start. We can resize or combine later if the work calls for it.
AI Readiness Assessment
$500 one-timeBusinesses exploring practical AI adoption
1 week
- 90-minute discovery session
- Current workflow and tooling review
- AI opportunity map
- Prioritized recommendations report
AI Setup & Configuration
$1,500–$3,000 one-timeTeams ready to implement AI tools with expert setup
1–2 weeks
- AI tool selection and setup
- Integration with current stack
- Prompt engineering and workflow configuration
- Documentation and walkthrough
AI Training & Enablement
$2,000–$4,000 one-timeOrganizations that want team confidence and repeatable adoption
2–3 weeks
- Custom training curriculum
- Live workshops
- Hands-on exercises
- Prompt library and references
- 30-day follow-up support
Starter Agent
$3,000–$5,000 one-timeBusinesses needing one focused production agent
2–3 weeks
- Single-purpose agent (intake, FAQ, scheduling)
- Connection to 1–2 data sources/tools
- Deployment and launch support
- Testing and refinement
Pro Agent
$7,500–$12,000 one-timeTeams requiring multi-step reasoning and integrations
4–6 weeks
- Multi-tool AI agent
- Knowledge base ingestion and retrieval
- Automation triggers and guardrails
- Analytics dashboard
Agent System
$15,000–$25,000+ one-timeBusinesses scaling AI across multiple workflows
6–10 weeks
- Multi-agent orchestration
- Cross-platform data pipelines
- Human-in-the-loop approval workflows
- Ongoing tuning and advisory option
Ready to scope ai services?
Thirty-minute working call. You leave with a direction, fit or not.